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z&;Q4VX`lI>?0>f3Bi-^e`vegmgLFKl02oe?&~eZTtj>9sMAV1 zG>6$`=kC+WMcpc?sGsO_$9h9qqq>e_ql-%7W){OPyOv^H5Wd#Iw?-^Qc$%;jdekU0 zhiUnZmSO<@0jCj5;aRN3H5k`Y*a~4OX?(eBDQ3|(mcmZnXesP2{?de{G`hASe&M2u zpC}Px@+D>LwyMZwpo{;X3LF!7UZ75(K%h{dNZ?+9VgYweNT5z&lfZU?CV{;IZk!wc zihw(eMGIUJQ0-mU$SUW;RpLX=*fvwfC!!#Xik^*E0^Y;BcmrR`eH^h5*~@l<2Tn^j zij5@t5Be58OgGWRcqL6E=EJTo>!87tQH%tUf6OZFE}N=4$jyfRQ(y7eBX=!*G@s!3`Ps6pY_nQ9t&J+Nri&OETY zwCT; zJAKGusW*L(+Gcx_|4xQ=qWXzqH zku@)CjuSVDdBqd76YU5_5rx@+@8seyeADSCnPdMNt@63k60jeB8(H>&A+*T(eH0vG z#-qX2)!tC$L%}NEZkJLv*}j?xqmE-3(j>kX@UjE-L#}wsZRvY&t&DLMoz6+6SPt8_2^_r5Oub{$kxMu0i8qbrT_o{ From 31c695c20166c5477552398233eabca11a22ff89 Mon Sep 17 00:00:00 2001 From: lola-jo Date: Fri, 1 Sep 2023 21:49:22 +0800 Subject: [PATCH 2/6] update readme.ipynb of db --- awesome/README.ipynb | 172 +++++++++++++++++++++++-------------------- 1 file changed, 94 insertions(+), 78 deletions(-) diff --git a/awesome/README.ipynb b/awesome/README.ipynb index bb74f65424..7fbc8dd5ce 100644 --- a/awesome/README.ipynb +++ b/awesome/README.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 2, + "execution_count": 44, "metadata": { "tags": [ "remove_cell" @@ -14,7 +14,7 @@ "\n", "import os\n", "import sys\n", - "!{sys.executable} -m pip install --quiet pandas langcodes langcodes[data] tabulate jupyter nbconvert jupyter_contrib_nbextensions\n", + "!{sys.executable} -m pip install --quiet pandas langcodes langcodes[data] tabulate jupyter nbconvert\n", "\n", "module_path = os.path.abspath(os.path.join('./lists'))\n", "if module_path not in sys.path:\n", @@ -39,7 +39,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 45, "metadata": {}, "outputs": [], "source": [ @@ -54,7 +54,8 @@ "user_course_df = init_db(DB_URL, 'UserCourses')\n", "user_tutorial_df = init_db(DB_URL, 'UserTutorials')\n", "organization_df = init_db(DB_URL, 'Organization')\n", - "course_organization_df = init_db(DB_URL, 'CourseOrganizations')\n" + "course_organization_df = init_db(DB_URL, 'CourseOrganizations')\n", + "\n" ] }, { @@ -66,7 +67,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 46, "metadata": { "tags": [ "remove_cell" @@ -97,81 +98,96 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 47, "metadata": {}, "outputs": [ { "data": { "text/markdown": [ - "| | Title | By | Topic | Price | Level | Type | Hascert | Language | Tag |\n", - "|---:|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:--------------------|:---------------|:----------------|:--------------|:----------|:-----------------------|:--------------------------------------------------------------------------------------------------|\n", - "| 1 | Data Visualization | @freeCodeCamp | ๐Ÿ’ฟ Data science | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science ๐Ÿ“ˆ Data visualization ๐Ÿซ™ Javascript ๐Ÿ‘จโ€๐Ÿซ Projects |\n", - "| 2 | Relational Database | @freeCodeCamp | ๐Ÿ’ฟ Data science | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿ“Š SQL |\n", - "| 3 | Scientific Computing with Python | Charles Severance@freeCodeCamp | ๐Ÿ’ฟ Data science | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿ Python ๐ŸŽฅ Video |\n", - "| 4 | Data Analysis with Python | Santiago Basulto@freeCodeCamp | ๐Ÿ’ฟ Data science | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿ Python ๐ŸŽฅ Video |\n", - "| 5 | Machine Learning with Python | Tim Ruscica@freeCodeCamp | ๐Ÿค– AI | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿ Python ๐ŸŽฅ Video ๐Ÿง  Machine learning |\n", - "| 6 | Big Data, Large Scale Machine Learning | John Langford, Yann LeCun@New York University | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning โšก๏ธ Big data |\n", - "| 7 | Artificial Intelligence | Patrick Henry Winston@MIT | ๐Ÿค– AI | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿค– AI |\n", - "| 8 | Natural Language Processing with Deep Learning | Chris Manning@Stanford | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿ‘ฝ Deep learning ๐Ÿ—ฃ๏ธ NLP |\n", - "| 9 | Machine Learning: 2014-2015 | Nando de Freitas@Oxford | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning |\n", - "| 10 | Getting Started with Deep Learning | @NVIDIA | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฅ Paid of 90$ | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿง  Machine learning โšก๏ธ Big data ๐Ÿ‘ฝ Deep learning ๐Ÿ‘“ Computer vision |\n", - "| 11 | Building Video AI Applications at the Edge on Jetson Nano | @NVIDIA | ๐Ÿฆฟ Robotics | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning ๐Ÿ‘“ Computer vision |\n", - "| 12 | Getting Started with AI on Jetson Nano | @NVIDIA | ๐Ÿฆฟ Robotics | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘“ Computer vision ๐Ÿ’ป Hardware ๐Ÿฆฟ Robotics |\n", - "| 13 | Graduate Summer School: Deep Learning, Feature Learning | Yann LeCun, Yoshua Bengio, Geoffrey Hinton, Andrew Ng, Stanley Osher@UCLA | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", - "| 14 | Deep Learning 2017 | Ali Ghodsi@University of Waterloo | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", - "| 15 | Deep Learning | Ali Ghodsi@University of Waterloo | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", - "| 16 | Statistical Machine Learning: Spring 2017 | Ryan Tibshirani, Larry Wasserman@Carnegie Mellon University | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning |\n", - "| 17 | UVA Deep Learning Course | Yuki Asano@University of Amsterdam | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", - "| 18 | MIT Deep Learning and Artificial Intelligence Lectures | Lex Fridman@MIT | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning ๐Ÿš— Self driving |\n", - "| 19 | Introduction to Deep Learning | Alexander Amini & Ava Amini & Sadhana Lolla@MIT | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿ Python ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", - "| 20 | Deep Reinforcement Learning | Sergey Levine@UC Berkeley | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", - "| 21 | Practical Deep Learning | Jeremy Howard | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", - "| 22 | Introduction to Deep Learning | Bhiksha Raj, Rita Singh@Carnegie Mellon University | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", - "| 23 | AI for Everyone | Andrew Ng | ๐Ÿค– AI | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿค– AI ๐Ÿ‘ฝ Deep learning |\n", - "| 24 | Yann LeCunโ€™s Deep Learning Course at CDS | Yann LeCun@New York University | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English ๐Ÿ‡ซ๐Ÿ‡ท franรงais | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", - "| 25 | Neural Networks and Deep Learning | Alan Blair@University of New South Wales | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", - "| 26 | Spinning Up in Deep Reinforcement Learning | Josh Achiam | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning ๐ŸŽฎ Reinforcement learning |\n", - "| | | | | | | | | | |\n", - "| 27 | Introduction to Deep Learning | Alex Smola, Mu Li@UC Berkeley | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", - "| 28 | Dive into Deep Learning in 1 Day | Alex Smola@ODSC | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", - "| 29 | Dive into Deep Learning | Rachel Hu, Aston Zhang@GTC | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", - "| 30 | ๅŠจๆ‰‹ๅญฆๆทฑๅบฆๅญฆไน ๅœจ็บฟ่ฏพ็จ‹ | Mu Li@D2L | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡จ๐Ÿ‡ณ ไธญๆ–‡ | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", - "| 31 | Practical Machine Learning | Alex Smola, Mu Li | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", - "| 32 | Learning from Data | Yaser Abu-Mostafa@Caltech | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning โšก๏ธ Big data |\n", - "| 33 | Computational Systems Biology: Deep Learning in the Life Sciences | Manolis Kellis@MIT | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ“ˆ Data visualization ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", - "| 34 | Introduction to Deep Learning and Generative Models | Sebastian Raschka@UNIVERSITY OF WISCONSINโ€“MADISON | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", - "| 35 | Deep Learning for Speech and Language | Antonio Bonafonte &\tJose Adriรกn Rodrรญguez Fonollosa &\tMarta Ruiz Costa-jussร  \t& Javier Hernando \t& Santiago Pascual \t& Elisa Sayrol \t& Xavier Giro-i-Nieto@Universitat Politรจcnica de Catalunya | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning ๐Ÿ—ฃ๏ธ NLP |\n", - "| 36 | Deep Learning on Computational Accelerators | Alex Bronstein & Chaim Baskin & Moshe Kimhi & Mitchell Keren Taraday@Technion | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", - "| 37 | Applications of Deep Neural Networks | Jeff Heaton@Washington University in St. Louis | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning ๐Ÿ‘ฝ Deep learning |\n", - "| 38 | Introduction to Deep Learning | Alexander Amini & Ava Amini & Sadhana Lolla@MIT | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning ๐Ÿ—ฃ๏ธ NLP ๐Ÿ‘“ Computer vision |\n", - "| 39 | Deep Learning | Justin Sirignano@Univ. of Illinois at Urbana-Champaign | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning ๐Ÿ—ฃ๏ธ NLP |\n", - "| 40 | Deep learning course | Victor Lempitsky@Skoltech | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English ๐Ÿ‡ท๐Ÿ‡บ ั€ัƒััะบะธะน | ๐Ÿ Python ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning ๐Ÿ—ฃ๏ธ NLP |\n", - "| 41 | Deep Learning for Natural Language Processing | Phil Blunsom@Oxford | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿง  Machine learning |\n", - "| 42 | Machine Learning | Tony Jebara@Columbia University | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿง  Machine learning |\n", - "| 43 | Harvard University: Introduction to Data Science with Python | Pavlos Protopapas@Havard University | ๐Ÿ’ฟ Data science | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science ๐Ÿง  Machine learning |\n", - "| 44 | Introduction to Machine Learning | Jennifer Listgarten, Jitendra Malik@UC Berkeley | ๐Ÿ’ฟ Data science | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿง  Machine learning |\n", - "| 45 | Natural Language Processing with Deep Learning | Christopher Manning@Stanford | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘ฝ Deep learning |\n", - "| 46 | Deep Learning for Computer Vision | Fei-Fei Li, Yunzhu Li, Ruohan Gao@Stanford | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘ฝ Deep learning |\n", - "| 47 | Advanced Robotics | Pieter Abbeel@UC Berkeley | ๐Ÿฆฟ Robotics | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿฆฟ Robotics |\n", - "| 48 | Machine Learning | Thorsten Joachims@Cornell University | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿง  Machine learning |\n", - "| 49 | Machine Learning for Data Science | Lillian Lee@Cornell University | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science ๐Ÿง  Machine learning |\n", - "| 50 | Deep Learning | @New York University | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘ฝ Deep learning |\n", - "| 51 | Deep Learning for Computer Vision and Natural Language Processing | Liangliang Cao, Dr. James Fan@Columbia University | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘ฝ Deep learning |\n", - "| 52 | Introduction to Matrix Methods | John C. Duchi@Stanford | ๐Ÿ Python | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿงฎ Math |\n", - "| 53 | Machine Learning | Tom Mitchell@Carnegie Mellon University | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿง  Machine learning |\n", - "| 54 | Introduction to Deep Learning | Bhiksha Raj@Carnegie Mellon University | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘ฝ Deep learning |\n", - "| 55 | Mining Massive Data Sets | Jure Leskovec, Mina Ghashami@Stanford | ๐Ÿ’ฟ Data science | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science |\n", - "| 56 | Reinforcement Learning in the Wild | | ๐Ÿ’ฟ Data science | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฎ Reinforcement learning |\n", - "| 57 | UVA DEEP LEARNING COURSE | Yuki Asano | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘ฝ Deep learning |\n", - "| 58 | Machine Learning for Beginners | Jen Looper, Stephen Howell, Francesca Lazzeri, Tomomi Imura@Microsoft | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science ๐Ÿ Python |\n", - "| 59 | Machine Learning Crash Course with TensorFlow APIs | Google for Developers@Google for Developers | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning |\n", - "| 60 | Deep Learning course | Charles Ollion, Olivier Grisel@Institut polytechnique de Paris | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English ๐Ÿ‡ซ๐Ÿ‡ท franรงais | ๐Ÿ Python ๐Ÿ‘ฝ Deep learning |\n", - "| 61 | Full Stack Deep Learning | Josh Tobin, Sergey Karayev, Pieter Abbeel, others | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐Ÿ‘ฝ Deep learning |\n", - "| 62 | mlcourse.ai โ€“ Open Machine Learning Course | Yury Kashnitsky@mlcourse.ai | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐Ÿง  Machine learning |\n", - "| 63 | Deep Learning Using PyTorch | Hossein Hajiabolhassan | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐Ÿ‘ฝ Deep learning |\n", - "| 64 | A Machine Learning Course with Python | Amirsina Torfi@ Machine Learning Mindset | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿง  Machine learning |\n", - "| 65 | MLOps Zoomcamp | Alexey Grigorev@DataTalks.Club | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐Ÿง  Machine learning |\n", - "| 66 | Machine Learning course | Vladislav Goncharenko, Radoslav Neychev@MIPT | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English ๐Ÿ‡ท๐Ÿ‡บ ั€ัƒััะบะธะน | ๐Ÿ Python ๐Ÿง  Machine learning |" + "| | Title | By | Topic | Price | Level | Type | Hascert | Language | Tag |\n", + "|---:|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:--------------------|:---------------|:----------------|:--------------|:----------|:-----------------------|:--------------------------------------------------------------------------------------------------|\n", + "| 1 | Data Visualization | @freeCodeCamp | ๐Ÿ’ฟ Data science | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science ๐Ÿ“ˆ Data visualization ๐Ÿซ™ Javascript ๐Ÿ‘จโ€๐Ÿซ Projects |\n", + "| 2 | Relational Database | @freeCodeCamp | ๐Ÿ’ฟ Data science | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿ“Š SQL |\n", + "| 3 | Scientific Computing with Python | Charles Severance@freeCodeCamp | ๐Ÿ’ฟ Data science | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿ Python ๐ŸŽฅ Video |\n", + "| 4 | Data Analysis with Python | Santiago Basulto@freeCodeCamp | ๐Ÿ’ฟ Data science | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿ Python ๐ŸŽฅ Video |\n", + "| 5 | Machine Learning with Python | Tim Ruscica@freeCodeCamp | ๐Ÿค– AI | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿ Python ๐ŸŽฅ Video ๐Ÿง  Machine learning |\n", + "| 6 | Big Data, Large Scale Machine Learning | John Langford, Yann LeCun@New York University | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning โšก๏ธ Big data |\n", + "| 7 | Artificial Intelligence | Patrick Henry Winston@MIT | ๐Ÿค– AI | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿค– AI |\n", + "| 8 | Natural Language Processing with Deep Learning | Chris Manning@Stanford | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿ‘ฝ Deep learning ๐Ÿ—ฃ๏ธ NLP |\n", + "| 9 | Machine Learning: 2014-2015 | Nando de Freitas@Oxford | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning |\n", + "| 10 | Getting Started with Deep Learning | @NVIDIA | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฅ Paid of 90$ | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿง  Machine learning โšก๏ธ Big data ๐Ÿ‘ฝ Deep learning ๐Ÿ‘“ Computer vision |\n", + "| 11 | Building Video AI Applications at the Edge on Jetson Nano | @NVIDIA | ๐Ÿฆฟ Robotics | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning ๐Ÿ‘“ Computer vision |\n", + "| 12 | Getting Started with AI on Jetson Nano | @NVIDIA | ๐Ÿฆฟ Robotics | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘“ Computer vision ๐Ÿ’ป Hardware ๐Ÿฆฟ Robotics |\n", + "| 13 | Graduate Summer School: Deep Learning, Feature Learning | Yann LeCun, Yoshua Bengio, Geoffrey Hinton, Andrew Ng, Stanley Osher@UCLA | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", + "| 14 | Deep Learning 2017 | Ali Ghodsi@University of Waterloo | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", + "| 15 | Deep Learning | Ali Ghodsi@University of Waterloo | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", + "| 16 | Statistical Machine Learning: Spring 2017 | Ryan Tibshirani, Larry Wasserman@Carnegie Mellon University | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning |\n", + "| 17 | UVA Deep Learning Course | Yuki Asano@University of Amsterdam | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", + "| 18 | MIT Deep Learning and Artificial Intelligence Lectures | Lex Fridman@MIT | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning ๐Ÿš— Self driving |\n", + "| 19 | Introduction to Deep Learning | Alexander Amini & Ava Amini & Sadhana Lolla@MIT | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿ Python ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", + "| 20 | Deep Reinforcement Learning | Sergey Levine@UC Berkeley | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", + "| 21 | Practical Deep Learning | Jeremy Howard | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", + "| 22 | Introduction to Deep Learning | Bhiksha Raj, Rita Singh@Carnegie Mellon University | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", + "| 23 | AI for Everyone | Andrew Ng | ๐Ÿค– AI | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿค– AI ๐Ÿ‘ฝ Deep learning |\n", + "| 24 | Yann LeCunโ€™s Deep Learning Course at CDS | Yann LeCun@New York University | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English ๐Ÿ‡ซ๐Ÿ‡ท franรงais | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", + "| 25 | Neural Networks and Deep Learning | Alan Blair@University of New South Wales | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", + "| 26 | Spinning Up in Deep Reinforcement Learning | Josh Achiam | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning ๐ŸŽฎ Reinforcement learning |\n", + "| | | | | | | | | | |\n", + "| 27 | Introduction to Deep Learning | Alex Smola, Mu Li@UC Berkeley | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", + "| 28 | Dive into Deep Learning in 1 Day | Alex Smola@ODSC | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", + "| 29 | Dive into Deep Learning | Rachel Hu, Aston Zhang@GTC | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", + "| 30 | ๅŠจๆ‰‹ๅญฆๆทฑๅบฆๅญฆไน ๅœจ็บฟ่ฏพ็จ‹ | Mu Li@D2L | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡จ๐Ÿ‡ณ ไธญๆ–‡ | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", + "| 31 | Practical Machine Learning | Alex Smola, Mu Li | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", + "| 32 | Learning from Data | Yaser Abu-Mostafa@Caltech | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning โšก๏ธ Big data |\n", + "| 33 | Computational Systems Biology: Deep Learning in the Life Sciences | Manolis Kellis@MIT | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ“ˆ Data visualization ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", + "| 34 | Introduction to Deep Learning and Generative Models | Sebastian Raschka@UNIVERSITY OF WISCONSINโ€“MADISON | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", + "| 35 | Deep Learning for Speech and Language | Antonio Bonafonte &\tJose Adriรกn Rodrรญguez Fonollosa &\tMarta Ruiz Costa-jussร  \t& Javier Hernando \t& Santiago Pascual \t& Elisa Sayrol \t& Xavier Giro-i-Nieto@Universitat Politรจcnica de Catalunya | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning ๐Ÿ—ฃ๏ธ NLP |\n", + "| 36 | Deep Learning on Computational Accelerators | Alex Bronstein & Chaim Baskin & Moshe Kimhi & Mitchell Keren Taraday@Technion | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", + "| 37 | Applications of Deep Neural Networks | Jeff Heaton@Washington University in St. Louis | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning ๐Ÿ‘ฝ Deep learning |\n", + "| 38 | Introduction to Deep Learning | Alexander Amini & Ava Amini & Sadhana Lolla@MIT | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning ๐Ÿ—ฃ๏ธ NLP ๐Ÿ‘“ Computer vision |\n", + "| 39 | Deep Learning | Justin Sirignano@Univ. of Illinois at Urbana-Champaign | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning ๐Ÿ—ฃ๏ธ NLP |\n", + "| 40 | Deep learning course | Victor Lempitsky@Skoltech | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English ๐Ÿ‡ท๐Ÿ‡บ ั€ัƒััะบะธะน | ๐Ÿ Python ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning ๐Ÿ—ฃ๏ธ NLP |\n", + "| 41 | Deep Learning for Natural Language Processing | Phil Blunsom@Oxford | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿง  Machine learning |\n", + "| 42 | Machine Learning | Tony Jebara@Columbia University | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿง  Machine learning |\n", + "| 43 | Harvard University: Introduction to Data Science with Python | Pavlos Protopapas@Havard University | ๐Ÿ’ฟ Data science | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science ๐Ÿง  Machine learning |\n", + "| 44 | Introduction to Machine Learning | Jennifer Listgarten, Jitendra Malik@UC Berkeley | ๐Ÿ’ฟ Data science | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿง  Machine learning |\n", + "| 45 | Natural Language Processing with Deep Learning | Christopher Manning@Stanford | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘ฝ Deep learning |\n", + "| 46 | Deep Learning for Computer Vision | Fei-Fei Li, Yunzhu Li, Ruohan Gao@Stanford | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘ฝ Deep learning |\n", + "| 47 | Advanced Robotics | Pieter Abbeel@UC Berkeley | ๐Ÿฆฟ Robotics | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿฆฟ Robotics |\n", + "| 48 | Machine Learning | Thorsten Joachims@Cornell University | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿง  Machine learning |\n", + "| 49 | Machine Learning for Data Science | Lillian Lee@Cornell University | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science ๐Ÿง  Machine learning |\n", + "| 50 | Deep Learning | @New York University | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘ฝ Deep learning |\n", + "| 51 | Deep Learning for Computer Vision and Natural Language Processing | Liangliang Cao, Dr. James Fan@Columbia University | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘ฝ Deep learning |\n", + "| 52 | Introduction to Matrix Methods | John C. Duchi@Stanford | ๐Ÿ Python | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿงฎ Math |\n", + "| 53 | Machine Learning | Tom Mitchell@Carnegie Mellon University | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿง  Machine learning |\n", + "| 54 | Introduction to Deep Learning | Bhiksha Raj@Carnegie Mellon University | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘ฝ Deep learning |\n", + "| 55 | Mining Massive Data Sets | Jure Leskovec, Mina Ghashami@Stanford | ๐Ÿ’ฟ Data science | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science |\n", + "| 56 | Reinforcement Learning in the Wild | | ๐Ÿ’ฟ Data science | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฎ Reinforcement learning |\n", + "| 57 | UVA DEEP LEARNING COURSE | Yuki Asano | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘ฝ Deep learning |\n", + "| 58 | Machine Learning for Beginners | Jen Looper, Stephen Howell, Francesca Lazzeri, Tomomi Imura@Microsoft | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science ๐Ÿ Python |\n", + "| 59 | Machine Learning Crash Course with TensorFlow APIs | Google for Developers@Google for Developers | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning |\n", + "| 60 | Deep Learning course | Charles Ollion, Olivier Grisel@Institut polytechnique de Paris | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English ๐Ÿ‡ซ๐Ÿ‡ท franรงais | ๐Ÿ Python ๐Ÿ‘ฝ Deep learning |\n", + "| 61 | Full Stack Deep Learning | Josh Tobin, Sergey Karayev, Pieter Abbeel, others | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐Ÿ‘ฝ Deep learning |\n", + "| 62 | mlcourse.ai โ€“ Open Machine Learning Course | Yury Kashnitsky@mlcourse.ai | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐Ÿง  Machine learning |\n", + "| 63 | Deep Learning Using PyTorch | Hossein Hajiabolhassan | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐Ÿ‘ฝ Deep learning |\n", + "| 64 | A Machine Learning Course with Python | Amirsina Torfi@ Machine Learning Mindset | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿง  Machine learning |\n", + "| 65 | MLOps Zoomcamp | Alexey Grigorev@DataTalks.Club | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐Ÿง  Machine learning |\n", + "| 66 | Machine Learning course | Vladislav Goncharenko, Radoslav Neychev@MIPT | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English ๐Ÿ‡ท๐Ÿ‡บ ั€ัƒััะบะธะน | ๐Ÿ Python ๐Ÿง  Machine learning |\n", + "| 67 | Stanford CS229: Machine Learning | Andrew Ng@Stanford | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning |\n", + "| 68 | Making Friends with Machine Learning | Cassie Kozyrkov | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning |\n", + "| 69 | Applied Machine Learning | Volodymyr Kuleshov@Cornell University | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning |\n", + "| 70 | Introduction to Machine Learning (Tรผbingen) | Dmitry Kobak@University of Tรผbingen | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning |\n", + "| 71 | Statistical Machine Learning โ€” Ulrike von Luxburg, 2020 | Ulrike von Luxburg@University of Tรผbingen | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning |\n", + "| 72 | Probabilistic Machine Learning (Summer 2020) | Philipp Hennig@University of Tรผbingen | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning |\n", + "| 73 | MIT 6.S897 Machine Learning for Healthcare, Spring 2019 | Peter Szolovits, David Sontag@MIT | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning |\n", + "| 74 | Neural Networks: Zero to Hero | Andrej Karpathy@karpathy.ai | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿ‘ฝ Deep learning |\n", + "| 75 | Deep Learning โ€” Andreas Geiger | Andreas Zell@University of Tรผbingen | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿ‘ฝ Deep learning |\n", + "| 76 | Foundation Models | Samuel Albanie | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿค– AI ๐Ÿ‘ฝ Deep learning |\n", + "| 77 | Yann LeCunโ€™s Deep Learning Course at CDS | Alfredo Canziani@NYU | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿ‘ฝ Deep learning |\n", + "| 78 | Deep Unsupervised Learning | Pieter Abbeel, Peter Chen, others | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿ‘ฝ Deep learning |\n", + "| 79 | Deep Neural Networks | Sergey Levine, Phillip Isola@UC Berkeley | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿ‘ฝ Deep learning |\n", + "| 80 | Stanford CS230: Deep Learning | Andrew Ng@Stanford | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿ‘ฝ Deep learning |\n", + "| 81 | MIT 6.S192: Deep Learning for Art, Aesthetics, and Creativity | Ali Jahanian, Alyosha Efros, others@MIT | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿ‘ฝ Deep learning |" ], "text/plain": [ "" @@ -188,7 +204,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 48, "metadata": { "tags": [ "remove_cell" @@ -196,7 +212,7 @@ }, "outputs": [ { - "name": "stdout", + "name": "stderr", "output_type": "stream", "text": [ "[NbConvertApp] Converting notebook README.ipynb to markdown\n", @@ -227,7 +243,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.5" + "version": "3.9.16" } }, "nbformat": 4, From 0b4cc54e071a1adf1e0c1a19d439c0534025b8dd Mon Sep 17 00:00:00 2001 From: lola-jo Date: Fri, 1 Sep 2023 21:53:37 +0800 Subject: [PATCH 3/6] update readme.md of db --- awesome/README.md | 153 +++++++++++++++++++++++++--------------------- 1 file changed, 84 insertions(+), 69 deletions(-) diff --git a/awesome/README.md b/awesome/README.md index 9ab6114e92..38a2a90b1b 100644 --- a/awesome/README.md +++ b/awesome/README.md @@ -5,73 +5,88 @@ ## Courses -| | Title | By | Topic | Price | Level | Type | Hascert | Language | Tag | -|---:|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:--------------------|:---------------|:----------------|:--------------|:----------|:-----------------------|:--------------------------------------------------------------------------------------------------| -| 1 | Data Visualization | @freeCodeCamp | ๐Ÿ’ฟ Data science | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science ๐Ÿ“ˆ Data visualization ๐Ÿซ™ Javascript ๐Ÿ‘จโ€๐Ÿซ Projects | -| 2 | Relational Database | @freeCodeCamp | ๐Ÿ’ฟ Data science | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿ“Š SQL | -| 3 | Scientific Computing with Python | Charles Severance@freeCodeCamp | ๐Ÿ’ฟ Data science | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿ Python ๐ŸŽฅ Video | -| 4 | Data Analysis with Python | Santiago Basulto@freeCodeCamp | ๐Ÿ’ฟ Data science | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿ Python ๐ŸŽฅ Video | -| 5 | Machine Learning with Python | Tim Ruscica@freeCodeCamp | ๐Ÿค– AI | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿ Python ๐ŸŽฅ Video ๐Ÿง  Machine learning | -| 6 | Big Data, Large Scale Machine Learning | John Langford, Yann LeCun@New York University | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning โšก๏ธ Big data | -| 7 | Artificial Intelligence | Patrick Henry Winston@MIT | ๐Ÿค– AI | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿค– AI | -| 8 | Natural Language Processing with Deep Learning | Chris Manning@Stanford | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿ‘ฝ Deep learning ๐Ÿ—ฃ๏ธ NLP | -| 9 | Machine Learning: 2014-2015 | Nando de Freitas@Oxford | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning | -| 10 | Getting Started with Deep Learning | @NVIDIA | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฅ Paid of 90$ | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿง  Machine learning โšก๏ธ Big data ๐Ÿ‘ฝ Deep learning ๐Ÿ‘“ Computer vision | -| 11 | Building Video AI Applications at the Edge on Jetson Nano | @NVIDIA | ๐Ÿฆฟ Robotics | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning ๐Ÿ‘“ Computer vision | -| 12 | Getting Started with AI on Jetson Nano | @NVIDIA | ๐Ÿฆฟ Robotics | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘“ Computer vision ๐Ÿ’ป Hardware ๐Ÿฆฟ Robotics | -| 13 | Graduate Summer School: Deep Learning, Feature Learning | Yann LeCun, Yoshua Bengio, Geoffrey Hinton, Andrew Ng, Stanley Osher@UCLA | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | -| 14 | Deep Learning 2017 | Ali Ghodsi@University of Waterloo | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | -| 15 | Deep Learning | Ali Ghodsi@University of Waterloo | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | -| 16 | Statistical Machine Learning: Spring 2017 | Ryan Tibshirani, Larry Wasserman@Carnegie Mellon University | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning | -| 17 | UVA Deep Learning Course | Yuki Asano@University of Amsterdam | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | -| 18 | MIT Deep Learning and Artificial Intelligence Lectures | Lex Fridman@MIT | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning ๐Ÿš— Self driving | -| 19 | Introduction to Deep Learning | Alexander Amini & Ava Amini & Sadhana Lolla@MIT | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿ Python ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | -| 20 | Deep Reinforcement Learning | Sergey Levine@UC Berkeley | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | -| 21 | Practical Deep Learning | Jeremy Howard | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | -| 22 | Introduction to Deep Learning | Bhiksha Raj, Rita Singh@Carnegie Mellon University | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | -| 23 | AI for Everyone | Andrew Ng | ๐Ÿค– AI | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿค– AI ๐Ÿ‘ฝ Deep learning | -| 24 | Yann LeCunโ€™s Deep Learning Course at CDS | Yann LeCun@New York University | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English ๐Ÿ‡ซ๐Ÿ‡ท franรงais | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | -| 25 | Neural Networks and Deep Learning | Alan Blair@University of New South Wales | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | -| 26 | Spinning Up in Deep Reinforcement Learning | Josh Achiam | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning ๐ŸŽฎ Reinforcement learning | -| | | | | | | | | | | -| 27 | Introduction to Deep Learning | Alex Smola, Mu Li@UC Berkeley | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | -| 28 | Dive into Deep Learning in 1 Day | Alex Smola@ODSC | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | -| 29 | Dive into Deep Learning | Rachel Hu, Aston Zhang@GTC | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | -| 30 | ๅŠจๆ‰‹ๅญฆๆทฑๅบฆๅญฆไน ๅœจ็บฟ่ฏพ็จ‹ | Mu Li@D2L | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡จ๐Ÿ‡ณ ไธญๆ–‡ | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | -| 31 | Practical Machine Learning | Alex Smola, Mu Li | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | -| 32 | Learning from Data | Yaser Abu-Mostafa@Caltech | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning โšก๏ธ Big data | -| 33 | Computational Systems Biology: Deep Learning in the Life Sciences | Manolis Kellis@MIT | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ“ˆ Data visualization ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | -| 34 | Introduction to Deep Learning and Generative Models | Sebastian Raschka@UNIVERSITY OF WISCONSINโ€“MADISON | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | -| 35 | Deep Learning for Speech and Language | Antonio Bonafonte & Jose Adriรกn Rodrรญguez Fonollosa & Marta Ruiz Costa-jussร  & Javier Hernando & Santiago Pascual & Elisa Sayrol & Xavier Giro-i-Nieto@Universitat Politรจcnica de Catalunya | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning ๐Ÿ—ฃ๏ธ NLP | -| 36 | Deep Learning on Computational Accelerators | Alex Bronstein & Chaim Baskin & Moshe Kimhi & Mitchell Keren Taraday@Technion | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | -| 37 | Applications of Deep Neural Networks | Jeff Heaton@Washington University in St. Louis | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning ๐Ÿ‘ฝ Deep learning | -| 38 | Introduction to Deep Learning | Alexander Amini & Ava Amini & Sadhana Lolla@MIT | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning ๐Ÿ—ฃ๏ธ NLP ๐Ÿ‘“ Computer vision | -| 39 | Deep Learning | Justin Sirignano@Univ. of Illinois at Urbana-Champaign | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning ๐Ÿ—ฃ๏ธ NLP | -| 40 | Deep learning course | Victor Lempitsky@Skoltech | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English ๐Ÿ‡ท๐Ÿ‡บ ั€ัƒััะบะธะน | ๐Ÿ Python ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning ๐Ÿ—ฃ๏ธ NLP | -| 41 | Deep Learning for Natural Language Processing | Phil Blunsom@Oxford | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿง  Machine learning | -| 42 | Machine Learning | Tony Jebara@Columbia University | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿง  Machine learning | -| 43 | Harvard University: Introduction to Data Science with Python | Pavlos Protopapas@Havard University | ๐Ÿ’ฟ Data science | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science ๐Ÿง  Machine learning | -| 44 | Introduction to Machine Learning | Jennifer Listgarten, Jitendra Malik@UC Berkeley | ๐Ÿ’ฟ Data science | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿง  Machine learning | -| 45 | Natural Language Processing with Deep Learning | Christopher Manning@Stanford | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘ฝ Deep learning | -| 46 | Deep Learning for Computer Vision | Fei-Fei Li, Yunzhu Li, Ruohan Gao@Stanford | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘ฝ Deep learning | -| 47 | Advanced Robotics | Pieter Abbeel@UC Berkeley | ๐Ÿฆฟ Robotics | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿฆฟ Robotics | -| 48 | Machine Learning | Thorsten Joachims@Cornell University | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿง  Machine learning | -| 49 | Machine Learning for Data Science | Lillian Lee@Cornell University | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science ๐Ÿง  Machine learning | -| 50 | Deep Learning | @New York University | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘ฝ Deep learning | -| 51 | Deep Learning for Computer Vision and Natural Language Processing | Liangliang Cao, Dr. James Fan@Columbia University | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘ฝ Deep learning | -| 52 | Introduction to Matrix Methods | John C. Duchi@Stanford | ๐Ÿ Python | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿงฎ Math | -| 53 | Machine Learning | Tom Mitchell@Carnegie Mellon University | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿง  Machine learning | -| 54 | Introduction to Deep Learning | Bhiksha Raj@Carnegie Mellon University | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘ฝ Deep learning | -| 55 | Mining Massive Data Sets | Jure Leskovec, Mina Ghashami@Stanford | ๐Ÿ’ฟ Data science | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science | -| 56 | Reinforcement Learning in the Wild | | ๐Ÿ’ฟ Data science | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฎ Reinforcement learning | -| 57 | UVA DEEP LEARNING COURSE | Yuki Asano | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘ฝ Deep learning | -| 58 | Machine Learning for Beginners | Jen Looper, Stephen Howell, Francesca Lazzeri, Tomomi Imura@Microsoft | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science ๐Ÿ Python | -| 59 | Machine Learning Crash Course with TensorFlow APIs | Google for Developers@Google for Developers | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning | -| 60 | Deep Learning course | Charles Ollion, Olivier Grisel@Institut polytechnique de Paris | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English ๐Ÿ‡ซ๐Ÿ‡ท franรงais | ๐Ÿ Python ๐Ÿ‘ฝ Deep learning | -| 61 | Full Stack Deep Learning | Josh Tobin, Sergey Karayev, Pieter Abbeel, others | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐Ÿ‘ฝ Deep learning | -| 62 | mlcourse.ai โ€“ Open Machine Learning Course | Yury Kashnitsky@mlcourse.ai | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐Ÿง  Machine learning | -| 63 | Deep Learning Using PyTorch | Hossein Hajiabolhassan | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐Ÿ‘ฝ Deep learning | -| 64 | A Machine Learning Course with Python | Amirsina Torfi@ Machine Learning Mindset | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿง  Machine learning | -| 65 | MLOps Zoomcamp | Alexey Grigorev@DataTalks.Club | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐Ÿง  Machine learning | -| 66 | Machine Learning course | Vladislav Goncharenko, Radoslav Neychev@MIPT | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English ๐Ÿ‡ท๐Ÿ‡บ ั€ัƒััะบะธะน | ๐Ÿ Python ๐Ÿง  Machine learning | +| | Title | By | Topic | Price | Level | Type | Hascert | Language | Tag | +|---:|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:--------------------|:---------------|:----------------|:--------------|:----------|:-----------------------|:--------------------------------------------------------------------------------------------------| +| 1 | Data Visualization | @freeCodeCamp | ๐Ÿ’ฟ Data science | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science ๐Ÿ“ˆ Data visualization ๐Ÿซ™ Javascript ๐Ÿ‘จโ€๐Ÿซ Projects | +| 2 | Relational Database | @freeCodeCamp | ๐Ÿ’ฟ Data science | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿ“Š SQL | +| 3 | Scientific Computing with Python | Charles Severance@freeCodeCamp | ๐Ÿ’ฟ Data science | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿ Python ๐ŸŽฅ Video | +| 4 | Data Analysis with Python | Santiago Basulto@freeCodeCamp | ๐Ÿ’ฟ Data science | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿ Python ๐ŸŽฅ Video | +| 5 | Machine Learning with Python | Tim Ruscica@freeCodeCamp | ๐Ÿค– AI | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿ Python ๐ŸŽฅ Video ๐Ÿง  Machine learning | +| 6 | Big Data, Large Scale Machine Learning | John Langford, Yann LeCun@New York University | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning โšก๏ธ Big data | +| 7 | Artificial Intelligence | Patrick Henry Winston@MIT | ๐Ÿค– AI | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿค– AI | +| 8 | Natural Language Processing with Deep Learning | Chris Manning@Stanford | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿ‘ฝ Deep learning ๐Ÿ—ฃ๏ธ NLP | +| 9 | Machine Learning: 2014-2015 | Nando de Freitas@Oxford | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning | +| 10 | Getting Started with Deep Learning | @NVIDIA | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฅ Paid of 90$ | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿง  Machine learning โšก๏ธ Big data ๐Ÿ‘ฝ Deep learning ๐Ÿ‘“ Computer vision | +| 11 | Building Video AI Applications at the Edge on Jetson Nano | @NVIDIA | ๐Ÿฆฟ Robotics | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning ๐Ÿ‘“ Computer vision | +| 12 | Getting Started with AI on Jetson Nano | @NVIDIA | ๐Ÿฆฟ Robotics | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘“ Computer vision ๐Ÿ’ป Hardware ๐Ÿฆฟ Robotics | +| 13 | Graduate Summer School: Deep Learning, Feature Learning | Yann LeCun, Yoshua Bengio, Geoffrey Hinton, Andrew Ng, Stanley Osher@UCLA | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | +| 14 | Deep Learning 2017 | Ali Ghodsi@University of Waterloo | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | +| 15 | Deep Learning | Ali Ghodsi@University of Waterloo | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | +| 16 | Statistical Machine Learning: Spring 2017 | Ryan Tibshirani, Larry Wasserman@Carnegie Mellon University | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning | +| 17 | UVA Deep Learning Course | Yuki Asano@University of Amsterdam | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | +| 18 | MIT Deep Learning and Artificial Intelligence Lectures | Lex Fridman@MIT | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning ๐Ÿš— Self driving | +| 19 | Introduction to Deep Learning | Alexander Amini & Ava Amini & Sadhana Lolla@MIT | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿ Python ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | +| 20 | Deep Reinforcement Learning | Sergey Levine@UC Berkeley | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | +| 21 | Practical Deep Learning | Jeremy Howard | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | +| 22 | Introduction to Deep Learning | Bhiksha Raj, Rita Singh@Carnegie Mellon University | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | +| 23 | AI for Everyone | Andrew Ng | ๐Ÿค– AI | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿค– AI ๐Ÿ‘ฝ Deep learning | +| 24 | Yann LeCunโ€™s Deep Learning Course at CDS | Yann LeCun@New York University | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English ๐Ÿ‡ซ๐Ÿ‡ท franรงais | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | +| 25 | Neural Networks and Deep Learning | Alan Blair@University of New South Wales | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | +| 26 | Spinning Up in Deep Reinforcement Learning | Josh Achiam | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning ๐ŸŽฎ Reinforcement learning | +| | | | | | | | | | | +| 27 | Introduction to Deep Learning | Alex Smola, Mu Li@UC Berkeley | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | +| 28 | Dive into Deep Learning in 1 Day | Alex Smola@ODSC | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | +| 29 | Dive into Deep Learning | Rachel Hu, Aston Zhang@GTC | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | +| 30 | ๅŠจๆ‰‹ๅญฆๆทฑๅบฆๅญฆไน ๅœจ็บฟ่ฏพ็จ‹ | Mu Li@D2L | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡จ๐Ÿ‡ณ ไธญๆ–‡ | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | +| 31 | Practical Machine Learning | Alex Smola, Mu Li | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | +| 32 | Learning from Data | Yaser Abu-Mostafa@Caltech | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning โšก๏ธ Big data | +| 33 | Computational Systems Biology: Deep Learning in the Life Sciences | Manolis Kellis@MIT | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ“ˆ Data visualization ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | +| 34 | Introduction to Deep Learning and Generative Models | Sebastian Raschka@UNIVERSITY OF WISCONSINโ€“MADISON | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | +| 35 | Deep Learning for Speech and Language | Antonio Bonafonte & Jose Adriรกn Rodrรญguez Fonollosa & Marta Ruiz Costa-jussร  & Javier Hernando & Santiago Pascual & Elisa Sayrol & Xavier Giro-i-Nieto@Universitat Politรจcnica de Catalunya | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning ๐Ÿ—ฃ๏ธ NLP | +| 36 | Deep Learning on Computational Accelerators | Alex Bronstein & Chaim Baskin & Moshe Kimhi & Mitchell Keren Taraday@Technion | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | +| 37 | Applications of Deep Neural Networks | Jeff Heaton@Washington University in St. Louis | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning ๐Ÿ‘ฝ Deep learning | +| 38 | Introduction to Deep Learning | Alexander Amini & Ava Amini & Sadhana Lolla@MIT | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning ๐Ÿ—ฃ๏ธ NLP ๐Ÿ‘“ Computer vision | +| 39 | Deep Learning | Justin Sirignano@Univ. of Illinois at Urbana-Champaign | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning ๐Ÿ—ฃ๏ธ NLP | +| 40 | Deep learning course | Victor Lempitsky@Skoltech | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English ๐Ÿ‡ท๐Ÿ‡บ ั€ัƒััะบะธะน | ๐Ÿ Python ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning ๐Ÿ—ฃ๏ธ NLP | +| 41 | Deep Learning for Natural Language Processing | Phil Blunsom@Oxford | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿง  Machine learning | +| 42 | Machine Learning | Tony Jebara@Columbia University | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿง  Machine learning | +| 43 | Harvard University: Introduction to Data Science with Python | Pavlos Protopapas@Havard University | ๐Ÿ’ฟ Data science | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science ๐Ÿง  Machine learning | +| 44 | Introduction to Machine Learning | Jennifer Listgarten, Jitendra Malik@UC Berkeley | ๐Ÿ’ฟ Data science | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿง  Machine learning | +| 45 | Natural Language Processing with Deep Learning | Christopher Manning@Stanford | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘ฝ Deep learning | +| 46 | Deep Learning for Computer Vision | Fei-Fei Li, Yunzhu Li, Ruohan Gao@Stanford | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘ฝ Deep learning | +| 47 | Advanced Robotics | Pieter Abbeel@UC Berkeley | ๐Ÿฆฟ Robotics | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿฆฟ Robotics | +| 48 | Machine Learning | Thorsten Joachims@Cornell University | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿง  Machine learning | +| 49 | Machine Learning for Data Science | Lillian Lee@Cornell University | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science ๐Ÿง  Machine learning | +| 50 | Deep Learning | @New York University | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘ฝ Deep learning | +| 51 | Deep Learning for Computer Vision and Natural Language Processing | Liangliang Cao, Dr. James Fan@Columbia University | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘ฝ Deep learning | +| 52 | Introduction to Matrix Methods | John C. Duchi@Stanford | ๐Ÿ Python | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿงฎ Math | +| 53 | Machine Learning | Tom Mitchell@Carnegie Mellon University | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿง  Machine learning | +| 54 | Introduction to Deep Learning | Bhiksha Raj@Carnegie Mellon University | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘ฝ Deep learning | +| 55 | Mining Massive Data Sets | Jure Leskovec, Mina Ghashami@Stanford | ๐Ÿ’ฟ Data science | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science | +| 56 | Reinforcement Learning in the Wild | | ๐Ÿ’ฟ Data science | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฎ Reinforcement learning | +| 57 | UVA DEEP LEARNING COURSE | Yuki Asano | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘ฝ Deep learning | +| 58 | Machine Learning for Beginners | Jen Looper, Stephen Howell, Francesca Lazzeri, Tomomi Imura@Microsoft | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science ๐Ÿ Python | +| 59 | Machine Learning Crash Course with TensorFlow APIs | Google for Developers@Google for Developers | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning | +| 60 | Deep Learning course | Charles Ollion, Olivier Grisel@Institut polytechnique de Paris | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English ๐Ÿ‡ซ๐Ÿ‡ท franรงais | ๐Ÿ Python ๐Ÿ‘ฝ Deep learning | +| 61 | Full Stack Deep Learning | Josh Tobin, Sergey Karayev, Pieter Abbeel, others | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐Ÿ‘ฝ Deep learning | +| 62 | mlcourse.ai โ€“ Open Machine Learning Course | Yury Kashnitsky@mlcourse.ai | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐Ÿง  Machine learning | +| 63 | Deep Learning Using PyTorch | Hossein Hajiabolhassan | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐Ÿ‘ฝ Deep learning | +| 64 | A Machine Learning Course with Python | Amirsina Torfi@ Machine Learning Mindset | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿง  Machine learning | +| 65 | MLOps Zoomcamp | Alexey Grigorev@DataTalks.Club | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐Ÿง  Machine learning | +| 66 | Machine Learning course | Vladislav Goncharenko, Radoslav Neychev@MIPT | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English ๐Ÿ‡ท๐Ÿ‡บ ั€ัƒััะบะธะน | ๐Ÿ Python ๐Ÿง  Machine learning | +| 67 | Stanford CS229: Machine Learning | Andrew Ng@Stanford | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning | +| 68 | Making Friends with Machine Learning | Cassie Kozyrkov | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning | +| 69 | Applied Machine Learning | Volodymyr Kuleshov@Cornell University | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning | +| 70 | Introduction to Machine Learning (Tรผbingen) | Dmitry Kobak@University of Tรผbingen | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning | +| 71 | Statistical Machine Learning โ€” Ulrike von Luxburg, 2020 | Ulrike von Luxburg@University of Tรผbingen | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning | +| 72 | Probabilistic Machine Learning (Summer 2020) | Philipp Hennig@University of Tรผbingen | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning | +| 73 | MIT 6.S897 Machine Learning for Healthcare, Spring 2019 | Peter Szolovits, David Sontag@MIT | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning | +| 74 | Neural Networks: Zero to Hero | Andrej Karpathy@karpathy.ai | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿ‘ฝ Deep learning | +| 75 | Deep Learning โ€” Andreas Geiger | Andreas Zell@University of Tรผbingen | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿ‘ฝ Deep learning | +| 76 | Foundation Models | Samuel Albanie | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿค– AI ๐Ÿ‘ฝ Deep learning | +| 77 | Yann LeCunโ€™s Deep Learning Course at CDS | Alfredo Canziani@NYU | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿ‘ฝ Deep learning | +| 78 | Deep Unsupervised Learning | Pieter Abbeel, Peter Chen, others | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿ‘ฝ Deep learning | +| 79 | Deep Neural Networks | Sergey Levine, Phillip Isola@UC Berkeley | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿ‘ฝ Deep learning | +| 80 | Stanford CS230: Deep Learning | Andrew Ng@Stanford | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿ‘ฝ Deep learning | +| 81 | MIT 6.S192: Deep Learning for Art, Aesthetics, and Creativity | Ali Jahanian, Alyosha Efros, others@MIT | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿ‘ฝ Deep learning | From 9531dda3f758c7a3304a705a68cdb8d9f0ae3a22 Mon Sep 17 00:00:00 2001 From: lola-jo Date: Fri, 1 Sep 2023 21:59:42 +0800 Subject: [PATCH 4/6] fix a small spell problem --- awesome/database/data.db | Bin 962560 -> 962560 bytes 1 file changed, 0 insertions(+), 0 deletions(-) diff --git a/awesome/database/data.db b/awesome/database/data.db index 626f557b4886d6ff40ed03f53dabd4744343fded..316a1ae2e66bafd4e1aacc7e8d6b812168e2e37a 100644 GIT binary patch delta 82 zcmZp8VAb%zYJxQ5!HF`?j0YPNS`!#s6PQ{Pn71adRL-Ane~g#6{n>mLAZ7((HXvpP ZVh$kY1Y#~A<_2OOAm-ivY(Afq0075JB@zGt delta 79 zcmZp8VAb%zYJxQ5fr&ECj0YMMS`!#s6PQ{Pn71adRL*B~Y`-<11&CRJm<@>8ftUk` WIf0l9h`E872Z(vM--CIA3Tsv{%- From 8bb8f4ab0993f8ac1ecb60ae9e4bab26a60b3c21 Mon Sep 17 00:00:00 2001 From: lola-jo Date: Fri, 1 Sep 2023 23:06:36 +0800 Subject: [PATCH 5/6] rename the courses --- awesome/README.ipynb | 180 +++++++++++++++++++-------------------- awesome/database/data.db | Bin 962560 -> 962560 bytes 2 files changed, 90 insertions(+), 90 deletions(-) diff --git a/awesome/README.ipynb b/awesome/README.ipynb index 7fbc8dd5ce..b9d2dbdda9 100644 --- a/awesome/README.ipynb +++ b/awesome/README.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 44, + "execution_count": 1, "metadata": { "tags": [ "remove_cell" @@ -39,7 +39,7 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -67,7 +67,7 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 3, "metadata": { "tags": [ "remove_cell" @@ -98,96 +98,96 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/markdown": [ - "| | Title | By | Topic | Price | Level | Type | Hascert | Language | Tag |\n", - "|---:|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:--------------------|:---------------|:----------------|:--------------|:----------|:-----------------------|:--------------------------------------------------------------------------------------------------|\n", - "| 1 | Data Visualization | @freeCodeCamp | ๐Ÿ’ฟ Data science | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science ๐Ÿ“ˆ Data visualization ๐Ÿซ™ Javascript ๐Ÿ‘จโ€๐Ÿซ Projects |\n", - "| 2 | Relational Database | @freeCodeCamp | ๐Ÿ’ฟ Data science | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿ“Š SQL |\n", - "| 3 | Scientific Computing with Python | Charles Severance@freeCodeCamp | ๐Ÿ’ฟ Data science | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿ Python ๐ŸŽฅ Video |\n", - "| 4 | Data Analysis with Python | Santiago Basulto@freeCodeCamp | ๐Ÿ’ฟ Data science | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿ Python ๐ŸŽฅ Video |\n", - "| 5 | Machine Learning with Python | Tim Ruscica@freeCodeCamp | ๐Ÿค– AI | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿ Python ๐ŸŽฅ Video ๐Ÿง  Machine learning |\n", - "| 6 | Big Data, Large Scale Machine Learning | John Langford, Yann LeCun@New York University | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning โšก๏ธ Big data |\n", - "| 7 | Artificial Intelligence | Patrick Henry Winston@MIT | ๐Ÿค– AI | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿค– AI |\n", - "| 8 | Natural Language Processing with Deep Learning | Chris Manning@Stanford | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿ‘ฝ Deep learning ๐Ÿ—ฃ๏ธ NLP |\n", - "| 9 | Machine Learning: 2014-2015 | Nando de Freitas@Oxford | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning |\n", - "| 10 | Getting Started with Deep Learning | @NVIDIA | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฅ Paid of 90$ | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿง  Machine learning โšก๏ธ Big data ๐Ÿ‘ฝ Deep learning ๐Ÿ‘“ Computer vision |\n", - "| 11 | Building Video AI Applications at the Edge on Jetson Nano | @NVIDIA | ๐Ÿฆฟ Robotics | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning ๐Ÿ‘“ Computer vision |\n", - "| 12 | Getting Started with AI on Jetson Nano | @NVIDIA | ๐Ÿฆฟ Robotics | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘“ Computer vision ๐Ÿ’ป Hardware ๐Ÿฆฟ Robotics |\n", - "| 13 | Graduate Summer School: Deep Learning, Feature Learning | Yann LeCun, Yoshua Bengio, Geoffrey Hinton, Andrew Ng, Stanley Osher@UCLA | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", - "| 14 | Deep Learning 2017 | Ali Ghodsi@University of Waterloo | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", - "| 15 | Deep Learning | Ali Ghodsi@University of Waterloo | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", - "| 16 | Statistical Machine Learning: Spring 2017 | Ryan Tibshirani, Larry Wasserman@Carnegie Mellon University | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning |\n", - "| 17 | UVA Deep Learning Course | Yuki Asano@University of Amsterdam | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", - "| 18 | MIT Deep Learning and Artificial Intelligence Lectures | Lex Fridman@MIT | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning ๐Ÿš— Self driving |\n", - "| 19 | Introduction to Deep Learning | Alexander Amini & Ava Amini & Sadhana Lolla@MIT | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿ Python ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", - "| 20 | Deep Reinforcement Learning | Sergey Levine@UC Berkeley | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", - "| 21 | Practical Deep Learning | Jeremy Howard | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", - "| 22 | Introduction to Deep Learning | Bhiksha Raj, Rita Singh@Carnegie Mellon University | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", - "| 23 | AI for Everyone | Andrew Ng | ๐Ÿค– AI | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿค– AI ๐Ÿ‘ฝ Deep learning |\n", - "| 24 | Yann LeCunโ€™s Deep Learning Course at CDS | Yann LeCun@New York University | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English ๐Ÿ‡ซ๐Ÿ‡ท franรงais | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", - "| 25 | Neural Networks and Deep Learning | Alan Blair@University of New South Wales | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", - "| 26 | Spinning Up in Deep Reinforcement Learning | Josh Achiam | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning ๐ŸŽฎ Reinforcement learning |\n", - "| | | | | | | | | | |\n", - "| 27 | Introduction to Deep Learning | Alex Smola, Mu Li@UC Berkeley | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", - "| 28 | Dive into Deep Learning in 1 Day | Alex Smola@ODSC | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", - "| 29 | Dive into Deep Learning | Rachel Hu, Aston Zhang@GTC | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", - "| 30 | ๅŠจๆ‰‹ๅญฆๆทฑๅบฆๅญฆไน ๅœจ็บฟ่ฏพ็จ‹ | Mu Li@D2L | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡จ๐Ÿ‡ณ ไธญๆ–‡ | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", - "| 31 | Practical Machine Learning | Alex Smola, Mu Li | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", - "| 32 | Learning from Data | Yaser Abu-Mostafa@Caltech | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning โšก๏ธ Big data |\n", - "| 33 | Computational Systems Biology: Deep Learning in the Life Sciences | Manolis Kellis@MIT | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ“ˆ Data visualization ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", - "| 34 | Introduction to Deep Learning and Generative Models | Sebastian Raschka@UNIVERSITY OF WISCONSINโ€“MADISON | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", - "| 35 | Deep Learning for Speech and Language | Antonio Bonafonte &\tJose Adriรกn Rodrรญguez Fonollosa &\tMarta Ruiz Costa-jussร  \t& Javier Hernando \t& Santiago Pascual \t& Elisa Sayrol \t& Xavier Giro-i-Nieto@Universitat Politรจcnica de Catalunya | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning ๐Ÿ—ฃ๏ธ NLP |\n", - "| 36 | Deep Learning on Computational Accelerators | Alex Bronstein & Chaim Baskin & Moshe Kimhi & Mitchell Keren Taraday@Technion | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", - "| 37 | Applications of Deep Neural Networks | Jeff Heaton@Washington University in St. Louis | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning ๐Ÿ‘ฝ Deep learning |\n", - "| 38 | Introduction to Deep Learning | Alexander Amini & Ava Amini & Sadhana Lolla@MIT | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning ๐Ÿ—ฃ๏ธ NLP ๐Ÿ‘“ Computer vision |\n", - "| 39 | Deep Learning | Justin Sirignano@Univ. of Illinois at Urbana-Champaign | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning ๐Ÿ—ฃ๏ธ NLP |\n", - "| 40 | Deep learning course | Victor Lempitsky@Skoltech | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English ๐Ÿ‡ท๐Ÿ‡บ ั€ัƒััะบะธะน | ๐Ÿ Python ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning ๐Ÿ—ฃ๏ธ NLP |\n", - "| 41 | Deep Learning for Natural Language Processing | Phil Blunsom@Oxford | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿง  Machine learning |\n", - "| 42 | Machine Learning | Tony Jebara@Columbia University | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿง  Machine learning |\n", - "| 43 | Harvard University: Introduction to Data Science with Python | Pavlos Protopapas@Havard University | ๐Ÿ’ฟ Data science | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science ๐Ÿง  Machine learning |\n", - "| 44 | Introduction to Machine Learning | Jennifer Listgarten, Jitendra Malik@UC Berkeley | ๐Ÿ’ฟ Data science | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿง  Machine learning |\n", - "| 45 | Natural Language Processing with Deep Learning | Christopher Manning@Stanford | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘ฝ Deep learning |\n", - "| 46 | Deep Learning for Computer Vision | Fei-Fei Li, Yunzhu Li, Ruohan Gao@Stanford | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘ฝ Deep learning |\n", - "| 47 | Advanced Robotics | Pieter Abbeel@UC Berkeley | ๐Ÿฆฟ Robotics | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿฆฟ Robotics |\n", - "| 48 | Machine Learning | Thorsten Joachims@Cornell University | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿง  Machine learning |\n", - "| 49 | Machine Learning for Data Science | Lillian Lee@Cornell University | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science ๐Ÿง  Machine learning |\n", - "| 50 | Deep Learning | @New York University | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘ฝ Deep learning |\n", - "| 51 | Deep Learning for Computer Vision and Natural Language Processing | Liangliang Cao, Dr. James Fan@Columbia University | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘ฝ Deep learning |\n", - "| 52 | Introduction to Matrix Methods | John C. Duchi@Stanford | ๐Ÿ Python | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿงฎ Math |\n", - "| 53 | Machine Learning | Tom Mitchell@Carnegie Mellon University | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿง  Machine learning |\n", - "| 54 | Introduction to Deep Learning | Bhiksha Raj@Carnegie Mellon University | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘ฝ Deep learning |\n", - "| 55 | Mining Massive Data Sets | Jure Leskovec, Mina Ghashami@Stanford | ๐Ÿ’ฟ Data science | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science |\n", - "| 56 | Reinforcement Learning in the Wild | | ๐Ÿ’ฟ Data science | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฎ Reinforcement learning |\n", - "| 57 | UVA DEEP LEARNING COURSE | Yuki Asano | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘ฝ Deep learning |\n", - "| 58 | Machine Learning for Beginners | Jen Looper, Stephen Howell, Francesca Lazzeri, Tomomi Imura@Microsoft | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science ๐Ÿ Python |\n", - "| 59 | Machine Learning Crash Course with TensorFlow APIs | Google for Developers@Google for Developers | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning |\n", - "| 60 | Deep Learning course | Charles Ollion, Olivier Grisel@Institut polytechnique de Paris | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English ๐Ÿ‡ซ๐Ÿ‡ท franรงais | ๐Ÿ Python ๐Ÿ‘ฝ Deep learning |\n", - "| 61 | Full Stack Deep Learning | Josh Tobin, Sergey Karayev, Pieter Abbeel, others | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐Ÿ‘ฝ Deep learning |\n", - "| 62 | mlcourse.ai โ€“ Open Machine Learning Course | Yury Kashnitsky@mlcourse.ai | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐Ÿง  Machine learning |\n", - "| 63 | Deep Learning Using PyTorch | Hossein Hajiabolhassan | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐Ÿ‘ฝ Deep learning |\n", - "| 64 | A Machine Learning Course with Python | Amirsina Torfi@ Machine Learning Mindset | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿง  Machine learning |\n", - "| 65 | MLOps Zoomcamp | Alexey Grigorev@DataTalks.Club | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐Ÿง  Machine learning |\n", - "| 66 | Machine Learning course | Vladislav Goncharenko, Radoslav Neychev@MIPT | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English ๐Ÿ‡ท๐Ÿ‡บ ั€ัƒััะบะธะน | ๐Ÿ Python ๐Ÿง  Machine learning |\n", - "| 67 | Stanford CS229: Machine Learning | Andrew Ng@Stanford | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning |\n", - "| 68 | Making Friends with Machine Learning | Cassie Kozyrkov | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning |\n", - "| 69 | Applied Machine Learning | Volodymyr Kuleshov@Cornell University | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning |\n", - "| 70 | Introduction to Machine Learning (Tรผbingen) | Dmitry Kobak@University of Tรผbingen | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning |\n", - "| 71 | Statistical Machine Learning โ€” Ulrike von Luxburg, 2020 | Ulrike von Luxburg@University of Tรผbingen | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning |\n", - "| 72 | Probabilistic Machine Learning (Summer 2020) | Philipp Hennig@University of Tรผbingen | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning |\n", - "| 73 | MIT 6.S897 Machine Learning for Healthcare, Spring 2019 | Peter Szolovits, David Sontag@MIT | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning |\n", - "| 74 | Neural Networks: Zero to Hero | Andrej Karpathy@karpathy.ai | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿ‘ฝ Deep learning |\n", - "| 75 | Deep Learning โ€” Andreas Geiger | Andreas Zell@University of Tรผbingen | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿ‘ฝ Deep learning |\n", - "| 76 | Foundation Models | Samuel Albanie | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿค– AI ๐Ÿ‘ฝ Deep learning |\n", - "| 77 | Yann LeCunโ€™s Deep Learning Course at CDS | Alfredo Canziani@NYU | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿ‘ฝ Deep learning |\n", - "| 78 | Deep Unsupervised Learning | Pieter Abbeel, Peter Chen, others | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿ‘ฝ Deep learning |\n", - "| 79 | Deep Neural Networks | Sergey Levine, Phillip Isola@UC Berkeley | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿ‘ฝ Deep learning |\n", - "| 80 | Stanford CS230: Deep Learning | Andrew Ng@Stanford | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿ‘ฝ Deep learning |\n", - "| 81 | MIT 6.S192: Deep Learning for Art, Aesthetics, and Creativity | Ali Jahanian, Alyosha Efros, others@MIT | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿ‘ฝ Deep learning |" + "| | Title | By | Topic | Price | Level | Type | Hascert | Language | Tag |\n", + "|---:|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:--------------------|:---------------|:----------------|:--------------|:----------|:-----------------------|:--------------------------------------------------------------------------------------------------|\n", + "| 1 | Data Visualization | @freeCodeCamp | ๐Ÿ’ฟ Data science | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science ๐Ÿ“ˆ Data visualization ๐Ÿซ™ Javascript ๐Ÿ‘จโ€๐Ÿซ Projects |\n", + "| 2 | Relational Database | @freeCodeCamp | ๐Ÿ’ฟ Data science | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿ“Š SQL |\n", + "| 3 | Scientific Computing with Python | Charles Severance@freeCodeCamp | ๐Ÿ’ฟ Data science | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿ Python ๐ŸŽฅ Video |\n", + "| 4 | Data Analysis with Python | Santiago Basulto@freeCodeCamp | ๐Ÿ’ฟ Data science | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿ Python ๐ŸŽฅ Video |\n", + "| 5 | Machine Learning with Python | Tim Ruscica@freeCodeCamp | ๐Ÿค– AI | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿ Python ๐ŸŽฅ Video ๐Ÿง  Machine learning |\n", + "| 6 | Big Data, Large Scale Machine Learning | John Langford, Yann LeCun@New York University | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning โšก๏ธ Big data |\n", + "| 7 | Artificial Intelligence | Patrick Henry Winston@MIT | ๐Ÿค– AI | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿค– AI |\n", + "| 8 | Natural Language Processing with Deep Learning | Chris Manning@Stanford | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿ‘ฝ Deep learning ๐Ÿ—ฃ๏ธ NLP |\n", + "| 9 | Machine Learning: 2014-2015 | Nando de Freitas@Oxford | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning |\n", + "| 10 | Getting Started with Deep Learning | @NVIDIA | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฅ Paid of 90$ | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿง  Machine learning โšก๏ธ Big data ๐Ÿ‘ฝ Deep learning ๐Ÿ‘“ Computer vision |\n", + "| 11 | Building Video AI Applications at the Edge on Jetson Nano | @NVIDIA | ๐Ÿฆฟ Robotics | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning ๐Ÿ‘“ Computer vision |\n", + "| 12 | Getting Started with AI on Jetson Nano | @NVIDIA | ๐Ÿฆฟ Robotics | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘“ Computer vision ๐Ÿ’ป Hardware ๐Ÿฆฟ Robotics |\n", + "| 13 | Graduate Summer School: Deep Learning, Feature Learning | Yann LeCun, Yoshua Bengio, Geoffrey Hinton, Andrew Ng, Stanley Osher@UCLA | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", + "| 14 | Deep Learning 2017 | Ali Ghodsi@University of Waterloo | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", + "| 15 | Deep Learning | Ali Ghodsi@University of Waterloo | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", + "| 16 | Statistical Machine Learning: Spring 2017 | Ryan Tibshirani, Larry Wasserman@Carnegie Mellon University | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning |\n", + "| 17 | UVA Deep Learning Course | Yuki Asano@University of Amsterdam | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", + "| 18 | MIT Deep Learning and Artificial Intelligence Lectures | Lex Fridman@MIT | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning ๐Ÿš— Self driving |\n", + "| 19 | Introduction to Deep Learning | Alexander Amini & Ava Amini & Sadhana Lolla@MIT | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿ Python ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", + "| 20 | Deep Reinforcement Learning | Sergey Levine@UC Berkeley | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", + "| 21 | Practical Deep Learning | Jeremy Howard | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", + "| 22 | Introduction to Deep Learning | Bhiksha Raj, Rita Singh@Carnegie Mellon University | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", + "| 23 | AI for Everyone | Andrew Ng | ๐Ÿค– AI | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿค– AI ๐Ÿ‘ฝ Deep learning |\n", + "| 24 | Yann LeCunโ€™s Deep Learning Course at CDS | Yann LeCun@New York University | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English ๐Ÿ‡ซ๐Ÿ‡ท franรงais | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", + "| 25 | Neural Networks and Deep Learning | Alan Blair@University of New South Wales | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", + "| 26 | Spinning Up in Deep Reinforcement Learning | Josh Achiam | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning ๐ŸŽฎ Reinforcement learning |\n", + "| | | | | | | | | | |\n", + "| 27 | Introduction to Deep Learning | Alex Smola, Mu Li@UC Berkeley | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", + "| 28 | Dive into Deep Learning in 1 Day | Alex Smola@ODSC | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", + "| 29 | Dive into Deep Learning | Rachel Hu, Aston Zhang@GTC | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", + "| 30 | ๅŠจๆ‰‹ๅญฆๆทฑๅบฆๅญฆไน ๅœจ็บฟ่ฏพ็จ‹ | Mu Li@D2L | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡จ๐Ÿ‡ณ ไธญๆ–‡ | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", + "| 31 | Practical Machine Learning | Alex Smola, Mu Li | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", + "| 32 | Learning from Data | Yaser Abu-Mostafa@Caltech | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning โšก๏ธ Big data |\n", + "| 33 | Computational Systems Biology: Deep Learning in the Life Sciences | Manolis Kellis@MIT | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ“ˆ Data visualization ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", + "| 34 | Introduction to Deep Learning and Generative Models | Sebastian Raschka@UNIVERSITY OF WISCONSINโ€“MADISON | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", + "| 35 | Deep Learning for Speech and Language | Antonio Bonafonte &\tJose Adriรกn Rodrรญguez Fonollosa &\tMarta Ruiz Costa-jussร  \t& Javier Hernando \t& Santiago Pascual \t& Elisa Sayrol \t& Xavier Giro-i-Nieto@Universitat Politรจcnica de Catalunya | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning ๐Ÿ—ฃ๏ธ NLP |\n", + "| 36 | Deep Learning on Computational Accelerators | Alex Bronstein & Chaim Baskin & Moshe Kimhi & Mitchell Keren Taraday@Technion | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning |\n", + "| 37 | Applications of Deep Neural Networks | Jeff Heaton@Washington University in St. Louis | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning ๐Ÿ‘ฝ Deep learning |\n", + "| 38 | Introduction to Deep Learning | Alexander Amini & Ava Amini & Sadhana Lolla@MIT | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning ๐Ÿ—ฃ๏ธ NLP ๐Ÿ‘“ Computer vision |\n", + "| 39 | Deep Learning | Justin Sirignano@Univ. of Illinois at Urbana-Champaign | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning ๐Ÿ—ฃ๏ธ NLP |\n", + "| 40 | Deep learning course | Victor Lempitsky@Skoltech | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English ๐Ÿ‡ท๐Ÿ‡บ ั€ัƒััะบะธะน | ๐Ÿ Python ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning ๐Ÿ—ฃ๏ธ NLP |\n", + "| 41 | Deep Learning for Natural Language Processing | Phil Blunsom@Oxford | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿง  Machine learning |\n", + "| 42 | Machine Learning | Tony Jebara@Columbia University | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿง  Machine learning |\n", + "| 43 | Harvard University: Introduction to Data Science with Python | Pavlos Protopapas@Havard University | ๐Ÿ’ฟ Data science | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science ๐Ÿง  Machine learning |\n", + "| 44 | Introduction to Machine Learning | Jennifer Listgarten, Jitendra Malik@UC Berkeley | ๐Ÿ’ฟ Data science | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿง  Machine learning |\n", + "| 45 | Natural Language Processing with Deep Learning | Christopher Manning@Stanford | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘ฝ Deep learning |\n", + "| 46 | Deep Learning for Computer Vision | Fei-Fei Li, Yunzhu Li, Ruohan Gao@Stanford | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘ฝ Deep learning |\n", + "| 47 | Advanced Robotics | Pieter Abbeel@UC Berkeley | ๐Ÿฆฟ Robotics | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿฆฟ Robotics |\n", + "| 48 | Machine Learning | Thorsten Joachims@Cornell University | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿง  Machine learning |\n", + "| 49 | Machine Learning for Data Science | Lillian Lee@Cornell University | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science ๐Ÿง  Machine learning |\n", + "| 50 | Deep Learning | @New York University | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘ฝ Deep learning |\n", + "| 51 | Deep Learning for Computer Vision and Natural Language Processing | Liangliang Cao, Dr. James Fan@Columbia University | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘ฝ Deep learning |\n", + "| 52 | Introduction to Matrix Methods | John C. Duchi@Stanford | ๐Ÿ Python | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿงฎ Math |\n", + "| 53 | Machine Learning | Tom Mitchell@Carnegie Mellon University | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿง  Machine learning |\n", + "| 54 | Introduction to Deep Learning | Bhiksha Raj@Carnegie Mellon University | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘ฝ Deep learning |\n", + "| 55 | Mining Massive Data Sets | Jure Leskovec, Mina Ghashami@Stanford | ๐Ÿ’ฟ Data science | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science |\n", + "| 56 | Reinforcement Learning in the Wild | | ๐Ÿ’ฟ Data science | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฎ Reinforcement learning |\n", + "| 57 | UVA DEEP LEARNING COURSE | Yuki Asano | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘ฝ Deep learning |\n", + "| 58 | Machine Learning for Beginners | Jen Looper, Stephen Howell, Francesca Lazzeri, Tomomi Imura@Microsoft | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science ๐Ÿ Python |\n", + "| 59 | Machine Learning Crash Course with TensorFlow APIs | Google for Developers@Google for Developers | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning |\n", + "| 60 | Deep Learning course | Charles Ollion, Olivier Grisel@Institut polytechnique de Paris | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English ๐Ÿ‡ซ๐Ÿ‡ท franรงais | ๐Ÿ Python ๐Ÿ‘ฝ Deep learning |\n", + "| 61 | Full Stack Deep Learning | Josh Tobin, Sergey Karayev, Pieter Abbeel, others | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐Ÿ‘ฝ Deep learning |\n", + "| 62 | mlcourse.ai โ€“ Open Machine Learning Course | Yury Kashnitsky@mlcourse.ai | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐Ÿง  Machine learning |\n", + "| 63 | Deep Learning Using PyTorch | Hossein Hajiabolhassan | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐Ÿ‘ฝ Deep learning |\n", + "| 64 | A Machine Learning Course with Python | Amirsina Torfi@ Machine Learning Mindset | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿง  Machine learning |\n", + "| 65 | MLOps Zoomcamp | Alexey Grigorev@DataTalks.Club | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐Ÿง  Machine learning |\n", + "| 66 | Machine Learning course | Vladislav Goncharenko, Radoslav Neychev@MIPT | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English ๐Ÿ‡ท๐Ÿ‡บ ั€ัƒััะบะธะน | ๐Ÿ Python ๐Ÿง  Machine learning |\n", + "| 67 | Machine Learning | Andrew Ng@Stanford | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning |\n", + "| 68 | Making Friends with Machine Learning | Cassie Kozyrkov | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning |\n", + "| 69 | Applied Machine Learning | Volodymyr Kuleshov@Cornell University | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning |\n", + "| 70 | Introduction to Machine Learning | Dmitry Kobak@University of Tรผbingen | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning |\n", + "| 71 | Statistical Machine Learning | Ulrike von Luxburg@University of Tรผbingen | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning |\n", + "| 72 | Probabilistic Machine Learning | Philipp Hennig@University of Tรผbingen | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning |\n", + "| 73 | Machine Learning for Healthcare | Peter Szolovits, David Sontag@MIT | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning |\n", + "| 74 | Neural Networks: Zero to Hero | Andrej Karpathy@karpathy.ai | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿ‘ฝ Deep learning |\n", + "| 75 | Deep Learning โ€” Andreas Geiger | Andreas Zell@University of Tรผbingen | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿ‘ฝ Deep learning |\n", + "| 76 | Foundation Models | Samuel Albanie | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿค– AI ๐Ÿ‘ฝ Deep learning |\n", + "| 77 | Yann LeCunโ€™s Deep Learning Course | Alfredo Canziani@NYU | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿ‘ฝ Deep learning |\n", + "| 78 | Deep Unsupervised Learning | Pieter Abbeel, Peter Chen, others | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿ‘ฝ Deep learning |\n", + "| 79 | Deep Neural Networks | Sergey Levine, Phillip Isola@UC Berkeley | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿ‘ฝ Deep learning |\n", + "| 80 | Deep Learning | Andrew Ng@Stanford | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿ‘ฝ Deep learning |\n", + "| 81 | Deep Learning for Art, Aesthetics, and Creativity | Ali Jahanian, Alyosha Efros, others@MIT | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿ‘ฝ Deep learning |" ], "text/plain": [ "" @@ -204,7 +204,7 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 5, "metadata": { "tags": [ "remove_cell" @@ -216,7 +216,7 @@ "output_type": "stream", "text": [ "[NbConvertApp] Converting notebook README.ipynb to markdown\n", - "[NbConvertApp] Writing 54327 bytes to README.md\n" + "[NbConvertApp] Writing 71278 bytes to README.md\n" ] } ], diff --git a/awesome/database/data.db b/awesome/database/data.db index 316a1ae2e66bafd4e1aacc7e8d6b812168e2e37a..0409b17e7b2a59b3d26700b4c36cb5929bc123dc 100644 GIT binary patch delta 408 zcmW;EO-NKx7{>AQ@t))H-now8M`6Y!vyYs_Q2GBc^|3yx(Hddv0YyR4up`qc)9{zGE5C6^)Q~TKp!5uZUXyP!NIqePQpB0g$GQGJ@)kwZoY#j zco9ieiAP}Kk+}Nn6iDoqS{LWMV9TwXu`k$Fm3L&=QSfyhQ&p*PzTD!PjjGHsk$vRr o02@nk{C~&<%W_;&QtiyAD#wwunk;2CTaM*gG0QW@QA@V%AL4q7FaQ7m delta 467 zcmZp8VAb%zYJxQ5!HF`?j0YPNwk9wx)8~<5;M&aok98sQbw;VpjtLx$Y^_$#5~04+ z4GbAA`GZRm^V0H*QWTtnjf^aps6#M*xDF;#X}RPZ*F3V-oD}$?@`9>XIfZH zxp^5F7?@e_GH}n~xXXGMsPsJR^1D-6m|0qFJjJI!oWY_r{cSae1UJ+b7MA7;(;a8B z$n)wb1Q!%#=A|nb85mk_PngN#&BU7MArYE7eZy>)a6Sc%;L_aO)FPm?k%4AA`y7_- z>~mQEf98^7;OXI*$9jud4rm!4Gh3^ryF_UHbl=Hrp|T2(8m1_O<`iXSrz(`?=PCG< zRwR`crR#tV*}iBpn=2EmqZ`PMH&fXnc@#844(~|n$Z9N From 026f8e8187bf23a6dc59f7f5c6d9eb59db58558e Mon Sep 17 00:00:00 2001 From: lola-jo Date: Fri, 1 Sep 2023 23:08:53 +0800 Subject: [PATCH 6/6] update readme.md --- awesome/README.md | 168 +++++++++++++++++++++++----------------------- 1 file changed, 84 insertions(+), 84 deletions(-) diff --git a/awesome/README.md b/awesome/README.md index 38a2a90b1b..0730e40b91 100644 --- a/awesome/README.md +++ b/awesome/README.md @@ -5,88 +5,88 @@ ## Courses -| | Title | By | Topic | Price | Level | Type | Hascert | Language | Tag | -|---:|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:--------------------|:---------------|:----------------|:--------------|:----------|:-----------------------|:--------------------------------------------------------------------------------------------------| -| 1 | Data Visualization | @freeCodeCamp | ๐Ÿ’ฟ Data science | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science ๐Ÿ“ˆ Data visualization ๐Ÿซ™ Javascript ๐Ÿ‘จโ€๐Ÿซ Projects | -| 2 | Relational Database | @freeCodeCamp | ๐Ÿ’ฟ Data science | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿ“Š SQL | -| 3 | Scientific Computing with Python | Charles Severance@freeCodeCamp | ๐Ÿ’ฟ Data science | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿ Python ๐ŸŽฅ Video | -| 4 | Data Analysis with Python | Santiago Basulto@freeCodeCamp | ๐Ÿ’ฟ Data science | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿ Python ๐ŸŽฅ Video | -| 5 | Machine Learning with Python | Tim Ruscica@freeCodeCamp | ๐Ÿค– AI | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿ Python ๐ŸŽฅ Video ๐Ÿง  Machine learning | -| 6 | Big Data, Large Scale Machine Learning | John Langford, Yann LeCun@New York University | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning โšก๏ธ Big data | -| 7 | Artificial Intelligence | Patrick Henry Winston@MIT | ๐Ÿค– AI | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿค– AI | -| 8 | Natural Language Processing with Deep Learning | Chris Manning@Stanford | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿ‘ฝ Deep learning ๐Ÿ—ฃ๏ธ NLP | -| 9 | Machine Learning: 2014-2015 | Nando de Freitas@Oxford | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning | -| 10 | Getting Started with Deep Learning | @NVIDIA | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฅ Paid of 90$ | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿง  Machine learning โšก๏ธ Big data ๐Ÿ‘ฝ Deep learning ๐Ÿ‘“ Computer vision | -| 11 | Building Video AI Applications at the Edge on Jetson Nano | @NVIDIA | ๐Ÿฆฟ Robotics | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning ๐Ÿ‘“ Computer vision | -| 12 | Getting Started with AI on Jetson Nano | @NVIDIA | ๐Ÿฆฟ Robotics | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘“ Computer vision ๐Ÿ’ป Hardware ๐Ÿฆฟ Robotics | -| 13 | Graduate Summer School: Deep Learning, Feature Learning | Yann LeCun, Yoshua Bengio, Geoffrey Hinton, Andrew Ng, Stanley Osher@UCLA | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | -| 14 | Deep Learning 2017 | Ali Ghodsi@University of Waterloo | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | -| 15 | Deep Learning | Ali Ghodsi@University of Waterloo | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | -| 16 | Statistical Machine Learning: Spring 2017 | Ryan Tibshirani, Larry Wasserman@Carnegie Mellon University | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning | -| 17 | UVA Deep Learning Course | Yuki Asano@University of Amsterdam | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | -| 18 | MIT Deep Learning and Artificial Intelligence Lectures | Lex Fridman@MIT | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning ๐Ÿš— Self driving | -| 19 | Introduction to Deep Learning | Alexander Amini & Ava Amini & Sadhana Lolla@MIT | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿ Python ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | -| 20 | Deep Reinforcement Learning | Sergey Levine@UC Berkeley | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | -| 21 | Practical Deep Learning | Jeremy Howard | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | -| 22 | Introduction to Deep Learning | Bhiksha Raj, Rita Singh@Carnegie Mellon University | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | -| 23 | AI for Everyone | Andrew Ng | ๐Ÿค– AI | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿค– AI ๐Ÿ‘ฝ Deep learning | -| 24 | Yann LeCunโ€™s Deep Learning Course at CDS | Yann LeCun@New York University | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English ๐Ÿ‡ซ๐Ÿ‡ท franรงais | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | -| 25 | Neural Networks and Deep Learning | Alan Blair@University of New South Wales | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | -| 26 | Spinning Up in Deep Reinforcement Learning | Josh Achiam | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning ๐ŸŽฎ Reinforcement learning | -| | | | | | | | | | | -| 27 | Introduction to Deep Learning | Alex Smola, Mu Li@UC Berkeley | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | -| 28 | Dive into Deep Learning in 1 Day | Alex Smola@ODSC | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | -| 29 | Dive into Deep Learning | Rachel Hu, Aston Zhang@GTC | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | -| 30 | ๅŠจๆ‰‹ๅญฆๆทฑๅบฆๅญฆไน ๅœจ็บฟ่ฏพ็จ‹ | Mu Li@D2L | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡จ๐Ÿ‡ณ ไธญๆ–‡ | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | -| 31 | Practical Machine Learning | Alex Smola, Mu Li | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | -| 32 | Learning from Data | Yaser Abu-Mostafa@Caltech | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning โšก๏ธ Big data | -| 33 | Computational Systems Biology: Deep Learning in the Life Sciences | Manolis Kellis@MIT | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ“ˆ Data visualization ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | -| 34 | Introduction to Deep Learning and Generative Models | Sebastian Raschka@UNIVERSITY OF WISCONSINโ€“MADISON | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | -| 35 | Deep Learning for Speech and Language | Antonio Bonafonte & Jose Adriรกn Rodrรญguez Fonollosa & Marta Ruiz Costa-jussร  & Javier Hernando & Santiago Pascual & Elisa Sayrol & Xavier Giro-i-Nieto@Universitat Politรจcnica de Catalunya | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning ๐Ÿ—ฃ๏ธ NLP | -| 36 | Deep Learning on Computational Accelerators | Alex Bronstein & Chaim Baskin & Moshe Kimhi & Mitchell Keren Taraday@Technion | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | -| 37 | Applications of Deep Neural Networks | Jeff Heaton@Washington University in St. Louis | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning ๐Ÿ‘ฝ Deep learning | -| 38 | Introduction to Deep Learning | Alexander Amini & Ava Amini & Sadhana Lolla@MIT | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning ๐Ÿ—ฃ๏ธ NLP ๐Ÿ‘“ Computer vision | -| 39 | Deep Learning | Justin Sirignano@Univ. of Illinois at Urbana-Champaign | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning ๐Ÿ—ฃ๏ธ NLP | -| 40 | Deep learning course | Victor Lempitsky@Skoltech | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English ๐Ÿ‡ท๐Ÿ‡บ ั€ัƒััะบะธะน | ๐Ÿ Python ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning ๐Ÿ—ฃ๏ธ NLP | -| 41 | Deep Learning for Natural Language Processing | Phil Blunsom@Oxford | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿง  Machine learning | -| 42 | Machine Learning | Tony Jebara@Columbia University | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿง  Machine learning | -| 43 | Harvard University: Introduction to Data Science with Python | Pavlos Protopapas@Havard University | ๐Ÿ’ฟ Data science | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science ๐Ÿง  Machine learning | -| 44 | Introduction to Machine Learning | Jennifer Listgarten, Jitendra Malik@UC Berkeley | ๐Ÿ’ฟ Data science | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿง  Machine learning | -| 45 | Natural Language Processing with Deep Learning | Christopher Manning@Stanford | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘ฝ Deep learning | -| 46 | Deep Learning for Computer Vision | Fei-Fei Li, Yunzhu Li, Ruohan Gao@Stanford | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘ฝ Deep learning | -| 47 | Advanced Robotics | Pieter Abbeel@UC Berkeley | ๐Ÿฆฟ Robotics | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿฆฟ Robotics | -| 48 | Machine Learning | Thorsten Joachims@Cornell University | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿง  Machine learning | -| 49 | Machine Learning for Data Science | Lillian Lee@Cornell University | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science ๐Ÿง  Machine learning | -| 50 | Deep Learning | @New York University | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘ฝ Deep learning | -| 51 | Deep Learning for Computer Vision and Natural Language Processing | Liangliang Cao, Dr. James Fan@Columbia University | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘ฝ Deep learning | -| 52 | Introduction to Matrix Methods | John C. Duchi@Stanford | ๐Ÿ Python | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿงฎ Math | -| 53 | Machine Learning | Tom Mitchell@Carnegie Mellon University | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿง  Machine learning | -| 54 | Introduction to Deep Learning | Bhiksha Raj@Carnegie Mellon University | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘ฝ Deep learning | -| 55 | Mining Massive Data Sets | Jure Leskovec, Mina Ghashami@Stanford | ๐Ÿ’ฟ Data science | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science | -| 56 | Reinforcement Learning in the Wild | | ๐Ÿ’ฟ Data science | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฎ Reinforcement learning | -| 57 | UVA DEEP LEARNING COURSE | Yuki Asano | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘ฝ Deep learning | -| 58 | Machine Learning for Beginners | Jen Looper, Stephen Howell, Francesca Lazzeri, Tomomi Imura@Microsoft | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science ๐Ÿ Python | -| 59 | Machine Learning Crash Course with TensorFlow APIs | Google for Developers@Google for Developers | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning | -| 60 | Deep Learning course | Charles Ollion, Olivier Grisel@Institut polytechnique de Paris | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English ๐Ÿ‡ซ๐Ÿ‡ท franรงais | ๐Ÿ Python ๐Ÿ‘ฝ Deep learning | -| 61 | Full Stack Deep Learning | Josh Tobin, Sergey Karayev, Pieter Abbeel, others | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐Ÿ‘ฝ Deep learning | -| 62 | mlcourse.ai โ€“ Open Machine Learning Course | Yury Kashnitsky@mlcourse.ai | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐Ÿง  Machine learning | -| 63 | Deep Learning Using PyTorch | Hossein Hajiabolhassan | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐Ÿ‘ฝ Deep learning | -| 64 | A Machine Learning Course with Python | Amirsina Torfi@ Machine Learning Mindset | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿง  Machine learning | -| 65 | MLOps Zoomcamp | Alexey Grigorev@DataTalks.Club | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐Ÿง  Machine learning | -| 66 | Machine Learning course | Vladislav Goncharenko, Radoslav Neychev@MIPT | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English ๐Ÿ‡ท๐Ÿ‡บ ั€ัƒััะบะธะน | ๐Ÿ Python ๐Ÿง  Machine learning | -| 67 | Stanford CS229: Machine Learning | Andrew Ng@Stanford | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning | -| 68 | Making Friends with Machine Learning | Cassie Kozyrkov | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning | -| 69 | Applied Machine Learning | Volodymyr Kuleshov@Cornell University | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning | -| 70 | Introduction to Machine Learning (Tรผbingen) | Dmitry Kobak@University of Tรผbingen | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning | -| 71 | Statistical Machine Learning โ€” Ulrike von Luxburg, 2020 | Ulrike von Luxburg@University of Tรผbingen | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning | -| 72 | Probabilistic Machine Learning (Summer 2020) | Philipp Hennig@University of Tรผbingen | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning | -| 73 | MIT 6.S897 Machine Learning for Healthcare, Spring 2019 | Peter Szolovits, David Sontag@MIT | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning | -| 74 | Neural Networks: Zero to Hero | Andrej Karpathy@karpathy.ai | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿ‘ฝ Deep learning | -| 75 | Deep Learning โ€” Andreas Geiger | Andreas Zell@University of Tรผbingen | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿ‘ฝ Deep learning | -| 76 | Foundation Models | Samuel Albanie | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿค– AI ๐Ÿ‘ฝ Deep learning | -| 77 | Yann LeCunโ€™s Deep Learning Course at CDS | Alfredo Canziani@NYU | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿ‘ฝ Deep learning | -| 78 | Deep Unsupervised Learning | Pieter Abbeel, Peter Chen, others | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿ‘ฝ Deep learning | -| 79 | Deep Neural Networks | Sergey Levine, Phillip Isola@UC Berkeley | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿ‘ฝ Deep learning | -| 80 | Stanford CS230: Deep Learning | Andrew Ng@Stanford | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿ‘ฝ Deep learning | -| 81 | MIT 6.S192: Deep Learning for Art, Aesthetics, and Creativity | Ali Jahanian, Alyosha Efros, others@MIT | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿ‘ฝ Deep learning | +| | Title | By | Topic | Price | Level | Type | Hascert | Language | Tag | +|---:|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:--------------------|:---------------|:----------------|:--------------|:----------|:-----------------------|:--------------------------------------------------------------------------------------------------| +| 1 | Data Visualization | @freeCodeCamp | ๐Ÿ’ฟ Data science | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science ๐Ÿ“ˆ Data visualization ๐Ÿซ™ Javascript ๐Ÿ‘จโ€๐Ÿซ Projects | +| 2 | Relational Database | @freeCodeCamp | ๐Ÿ’ฟ Data science | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿ“Š SQL | +| 3 | Scientific Computing with Python | Charles Severance@freeCodeCamp | ๐Ÿ’ฟ Data science | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿ Python ๐ŸŽฅ Video | +| 4 | Data Analysis with Python | Santiago Basulto@freeCodeCamp | ๐Ÿ’ฟ Data science | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿ Python ๐ŸŽฅ Video | +| 5 | Machine Learning with Python | Tim Ruscica@freeCodeCamp | ๐Ÿค– AI | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿ Python ๐ŸŽฅ Video ๐Ÿง  Machine learning | +| 6 | Big Data, Large Scale Machine Learning | John Langford, Yann LeCun@New York University | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning โšก๏ธ Big data | +| 7 | Artificial Intelligence | Patrick Henry Winston@MIT | ๐Ÿค– AI | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿค– AI | +| 8 | Natural Language Processing with Deep Learning | Chris Manning@Stanford | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿ‘ฝ Deep learning ๐Ÿ—ฃ๏ธ NLP | +| 9 | Machine Learning: 2014-2015 | Nando de Freitas@Oxford | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning | +| 10 | Getting Started with Deep Learning | @NVIDIA | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฅ Paid of 90$ | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿง  Machine learning โšก๏ธ Big data ๐Ÿ‘ฝ Deep learning ๐Ÿ‘“ Computer vision | +| 11 | Building Video AI Applications at the Edge on Jetson Nano | @NVIDIA | ๐Ÿฆฟ Robotics | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning ๐Ÿ‘“ Computer vision | +| 12 | Getting Started with AI on Jetson Nano | @NVIDIA | ๐Ÿฆฟ Robotics | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘“ Computer vision ๐Ÿ’ป Hardware ๐Ÿฆฟ Robotics | +| 13 | Graduate Summer School: Deep Learning, Feature Learning | Yann LeCun, Yoshua Bengio, Geoffrey Hinton, Andrew Ng, Stanley Osher@UCLA | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | +| 14 | Deep Learning 2017 | Ali Ghodsi@University of Waterloo | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | +| 15 | Deep Learning | Ali Ghodsi@University of Waterloo | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | +| 16 | Statistical Machine Learning: Spring 2017 | Ryan Tibshirani, Larry Wasserman@Carnegie Mellon University | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning | +| 17 | UVA Deep Learning Course | Yuki Asano@University of Amsterdam | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | +| 18 | MIT Deep Learning and Artificial Intelligence Lectures | Lex Fridman@MIT | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning ๐Ÿš— Self driving | +| 19 | Introduction to Deep Learning | Alexander Amini & Ava Amini & Sadhana Lolla@MIT | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿ Python ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | +| 20 | Deep Reinforcement Learning | Sergey Levine@UC Berkeley | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | +| 21 | Practical Deep Learning | Jeremy Howard | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | +| 22 | Introduction to Deep Learning | Bhiksha Raj, Rita Singh@Carnegie Mellon University | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | +| 23 | AI for Everyone | Andrew Ng | ๐Ÿค– AI | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿค– AI ๐Ÿ‘ฝ Deep learning | +| 24 | Yann LeCunโ€™s Deep Learning Course at CDS | Yann LeCun@New York University | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English ๐Ÿ‡ซ๐Ÿ‡ท franรงais | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | +| 25 | Neural Networks and Deep Learning | Alan Blair@University of New South Wales | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | +| 26 | Spinning Up in Deep Reinforcement Learning | Josh Achiam | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning ๐ŸŽฎ Reinforcement learning | +| | | | | | | | | | | +| 27 | Introduction to Deep Learning | Alex Smola, Mu Li@UC Berkeley | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | +| 28 | Dive into Deep Learning in 1 Day | Alex Smola@ODSC | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | +| 29 | Dive into Deep Learning | Rachel Hu, Aston Zhang@GTC | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | +| 30 | ๅŠจๆ‰‹ๅญฆๆทฑๅบฆๅญฆไน ๅœจ็บฟ่ฏพ็จ‹ | Mu Li@D2L | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡จ๐Ÿ‡ณ ไธญๆ–‡ | ๐Ÿ‘จโ€๐Ÿซ Projects ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | +| 31 | Practical Machine Learning | Alex Smola, Mu Li | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘จโ€๐Ÿซ Projects ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | +| 32 | Learning from Data | Yaser Abu-Mostafa@Caltech | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning โšก๏ธ Big data | +| 33 | Computational Systems Biology: Deep Learning in the Life Sciences | Manolis Kellis@MIT | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ“ˆ Data visualization ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | +| 34 | Introduction to Deep Learning and Generative Models | Sebastian Raschka@UNIVERSITY OF WISCONSINโ€“MADISON | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | +| 35 | Deep Learning for Speech and Language | Antonio Bonafonte & Jose Adriรกn Rodrรญguez Fonollosa & Marta Ruiz Costa-jussร  & Javier Hernando & Santiago Pascual & Elisa Sayrol & Xavier Giro-i-Nieto@Universitat Politรจcnica de Catalunya | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning ๐Ÿ—ฃ๏ธ NLP | +| 36 | Deep Learning on Computational Accelerators | Alex Bronstein & Chaim Baskin & Moshe Kimhi & Mitchell Keren Taraday@Technion | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning | +| 37 | Applications of Deep Neural Networks | Jeff Heaton@Washington University in St. Louis | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning ๐Ÿ‘ฝ Deep learning | +| 38 | Introduction to Deep Learning | Alexander Amini & Ava Amini & Sadhana Lolla@MIT | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning ๐Ÿ—ฃ๏ธ NLP ๐Ÿ‘“ Computer vision | +| 39 | Deep Learning | Justin Sirignano@Univ. of Illinois at Urbana-Champaign | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning ๐Ÿ—ฃ๏ธ NLP | +| 40 | Deep learning course | Victor Lempitsky@Skoltech | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English ๐Ÿ‡ท๐Ÿ‡บ ั€ัƒััะบะธะน | ๐Ÿ Python ๐ŸŽฅ Video ๐Ÿง  Machine learning ๐Ÿ‘ฝ Deep learning ๐Ÿ—ฃ๏ธ NLP | +| 41 | Deep Learning for Natural Language Processing | Phil Blunsom@Oxford | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿง  Machine learning | +| 42 | Machine Learning | Tony Jebara@Columbia University | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿง  Machine learning | +| 43 | Harvard University: Introduction to Data Science with Python | Pavlos Protopapas@Havard University | ๐Ÿ’ฟ Data science | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science ๐Ÿง  Machine learning | +| 44 | Introduction to Machine Learning | Jennifer Listgarten, Jitendra Malik@UC Berkeley | ๐Ÿ’ฟ Data science | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿง  Machine learning | +| 45 | Natural Language Processing with Deep Learning | Christopher Manning@Stanford | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘ฝ Deep learning | +| 46 | Deep Learning for Computer Vision | Fei-Fei Li, Yunzhu Li, Ruohan Gao@Stanford | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘ฝ Deep learning | +| 47 | Advanced Robotics | Pieter Abbeel@UC Berkeley | ๐Ÿฆฟ Robotics | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿฆฟ Robotics | +| 48 | Machine Learning | Thorsten Joachims@Cornell University | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿง  Machine learning | +| 49 | Machine Learning for Data Science | Lillian Lee@Cornell University | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science ๐Ÿง  Machine learning | +| 50 | Deep Learning | @New York University | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘ฝ Deep learning | +| 51 | Deep Learning for Computer Vision and Natural Language Processing | Liangliang Cao, Dr. James Fan@Columbia University | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘ฝ Deep learning | +| 52 | Introduction to Matrix Methods | John C. Duchi@Stanford | ๐Ÿ Python | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿงฎ Math | +| 53 | Machine Learning | Tom Mitchell@Carnegie Mellon University | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿง  Machine learning | +| 54 | Introduction to Deep Learning | Bhiksha Raj@Carnegie Mellon University | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘ฝ Deep learning | +| 55 | Mining Massive Data Sets | Jure Leskovec, Mina Ghashami@Stanford | ๐Ÿ’ฟ Data science | ๐ŸŸฉ Free | ๐ŸŸง Intermediate | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science | +| 56 | Reinforcement Learning in the Wild | | ๐Ÿ’ฟ Data science | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฎ Reinforcement learning | +| 57 | UVA DEEP LEARNING COURSE | Yuki Asano | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ‘ฝ Deep learning | +| 58 | Machine Learning for Beginners | Jen Looper, Stephen Howell, Francesca Lazzeri, Tomomi Imura@Microsoft | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ’ฟ Data science ๐Ÿ Python | +| 59 | Machine Learning Crash Course with TensorFlow APIs | Google for Developers@Google for Developers | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning | +| 60 | Deep Learning course | Charles Ollion, Olivier Grisel@Institut polytechnique de Paris | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English ๐Ÿ‡ซ๐Ÿ‡ท franรงais | ๐Ÿ Python ๐Ÿ‘ฝ Deep learning | +| 61 | Full Stack Deep Learning | Josh Tobin, Sergey Karayev, Pieter Abbeel, others | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐Ÿ‘ฝ Deep learning | +| 62 | mlcourse.ai โ€“ Open Machine Learning Course | Yury Kashnitsky@mlcourse.ai | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐Ÿง  Machine learning | +| 63 | Deep Learning Using PyTorch | Hossein Hajiabolhassan | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐Ÿ‘ฝ Deep learning | +| 64 | A Machine Learning Course with Python | Amirsina Torfi@ Machine Learning Mindset | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿง  Machine learning | +| 65 | MLOps Zoomcamp | Alexey Grigorev@DataTalks.Club | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐Ÿ Python ๐Ÿง  Machine learning | +| 66 | Machine Learning course | Vladislav Goncharenko, Radoslav Neychev@MIPT | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English ๐Ÿ‡ท๐Ÿ‡บ ั€ัƒััะบะธะน | ๐Ÿ Python ๐Ÿง  Machine learning | +| 67 | Machine Learning | Andrew Ng@Stanford | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning | +| 68 | Making Friends with Machine Learning | Cassie Kozyrkov | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning | +| 69 | Applied Machine Learning | Volodymyr Kuleshov@Cornell University | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning | +| 70 | Introduction to Machine Learning | Dmitry Kobak@University of Tรผbingen | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning | +| 71 | Statistical Machine Learning | Ulrike von Luxburg@University of Tรผbingen | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning | +| 72 | Probabilistic Machine Learning | Philipp Hennig@University of Tรผbingen | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning | +| 73 | Machine Learning for Healthcare | Peter Szolovits, David Sontag@MIT | ๐Ÿง  Machine learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿง  Machine learning | +| 74 | Neural Networks: Zero to Hero | Andrej Karpathy@karpathy.ai | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฉ Beginner | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿ‘ฝ Deep learning | +| 75 | Deep Learning โ€” Andreas Geiger | Andreas Zell@University of Tรผbingen | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿ‘ฝ Deep learning | +| 76 | Foundation Models | Samuel Albanie | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿค– AI ๐Ÿ‘ฝ Deep learning | +| 77 | Yann LeCunโ€™s Deep Learning Course | Alfredo Canziani@NYU | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿ‘ฝ Deep learning | +| 78 | Deep Unsupervised Learning | Pieter Abbeel, Peter Chen, others | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿ‘ฝ Deep learning | +| 79 | Deep Neural Networks | Sergey Levine, Phillip Isola@UC Berkeley | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿ‘ฝ Deep learning | +| 80 | Deep Learning | Andrew Ng@Stanford | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿ‘ฝ Deep learning | +| 81 | Deep Learning for Art, Aesthetics, and Creativity | Ali Jahanian, Alyosha Efros, others@MIT | ๐Ÿ‘ฝ Deep learning | ๐ŸŸฉ Free | ๐ŸŸฅ Advanced | ๐ŸŸฉ Self-paced | โŒ | ๐Ÿ‡บ๐Ÿ‡ธ English | ๐ŸŽฅ Video ๐Ÿ‘ฝ Deep learning |