From f13e405eff9f2efc2449bb519c9e7a1c23bb036d Mon Sep 17 00:00:00 2001
From: Xu Senbo <1170676717@qq.com>
Date: Mon, 4 Sep 2023 22:38:06 +0800
Subject: [PATCH] Resubmit data
---
awesome/README.ipynb | 205 ++++++++++++++++++++-------------------
awesome/README.md | 183 +++++++++++++++++-----------------
awesome/database/data.db | Bin 995328 -> 1028096 bytes
3 files changed, 202 insertions(+), 186 deletions(-)
diff --git a/awesome/README.ipynb b/awesome/README.ipynb
index f9e8b75fb7..bae2eb5a31 100644
--- a/awesome/README.ipynb
+++ b/awesome/README.ipynb
@@ -2,7 +2,7 @@
"cells": [
{
"cell_type": "code",
- "execution_count": 1,
+ "execution_count": 6,
"metadata": {
"tags": [
"remove_cell"
@@ -13,8 +13,10 @@
"name": "stderr",
"output_type": "stream",
"text": [
- "/Users/zhangqi/ws/machine-learning/awesome/lists/lib/utils/format.py:142: SyntaxWarning: \"is not\" with a literal. Did you mean \"!=\"?\n",
- " if x[platform_column] is not \"\":\n"
+ "WARNING: jsonschema 3.2.0 does not provide the extra 'format-nongpl'\n",
+ "\n",
+ "[notice] A new release of pip is available: 23.0.1 -> 23.2.1\n",
+ "[notice] To update, run: python.exe -m pip install --upgrade pip\n"
]
}
],
@@ -48,7 +50,7 @@
},
{
"cell_type": "code",
- "execution_count": 2,
+ "execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
@@ -76,7 +78,7 @@
},
{
"cell_type": "code",
- "execution_count": 3,
+ "execution_count": 8,
"metadata": {
"tags": [
"remove_cell"
@@ -107,100 +109,107 @@
},
{
"cell_type": "code",
- "execution_count": 4,
+ "execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"text/markdown": [
- "| | Title | By | Topic | Price | Level | Type | Certificate | Language | Tag |\n",
- "|---:|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:--------------------|:---------------|:----------------|:--------------|:--------------|:-----------------------|:--------------------------------------------------------------------------------------------------|\n",
- "| 1 | Data Visualization | @freeCodeCamp | ๐ฟ Data science | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ
| ๐บ๐ธ English | ๐ฟ Data science ๐ Data visualization ๐ซ Javascript ๐จโ๐ซ Projects |\n",
- "| 2 | Relational Database | @freeCodeCamp | ๐ฟ Data science | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ
| ๐บ๐ธ English | ๐ฟ Data science ๐จโ๐ซ Projects ๐ SQL |\n",
- "| 3 | Scientific Computing with Python | Charles Severance@freeCodeCamp | ๐ฟ Data science | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ
| ๐บ๐ธ English | ๐ฟ Data science ๐จโ๐ซ Projects ๐ Python ๐ฅ Video |\n",
- "| 4 | Data Analysis with Python | Santiago Basulto@freeCodeCamp | ๐ฟ Data science | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ
| ๐บ๐ธ English | ๐ฟ Data science ๐จโ๐ซ Projects ๐ Python ๐ฅ Video |\n",
- "| 5 | Machine Learning with Python | Tim Ruscica@freeCodeCamp | ๐ค AI | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ
| ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ Python ๐ฅ Video ๐ง Machine learning |\n",
- "| 6 | Big Data, Large Scale Machine Learning | John Langford, Yann LeCun@New York University | ๐ง Machine learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ฅ Video ๐ง Machine learning โก๏ธ Big data |\n",
- "| 7 | Artificial Intelligence | Patrick Henry Winston@MIT | ๐ค AI | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ฅ Video ๐ค AI |\n",
- "| 8 | Natural Language Processing with Deep Learning | Chris Manning@Stanford | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ฅ Video ๐ฝ Deep learning ๐ฃ๏ธ NLP |\n",
- "| 9 | Machine Learning: 2014-2015 | Nando de Freitas@Oxford | ๐ง Machine learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ฅ Video ๐ง Machine learning |\n",
- "| 10 | Getting Started with Deep Learning | @NVIDIA | ๐ฝ Deep learning | ๐ฅ Paid of 90$ | ๐ฅ Advanced | ๐ฉ Self-paced | โ
| ๐บ๐ธ English | ๐ฟ Data science ๐จโ๐ซ Projects ๐ง Machine learning โก๏ธ Big data ๐ฝ Deep learning ๐ Computer vision |\n",
- "| 11 | Building Video AI Applications at the Edge on Jetson Nano | @NVIDIA | ๐ฆฟ Robotics | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ
| ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ง Machine learning ๐ฝ Deep learning ๐ Computer vision |\n",
- "| 12 | Getting Started with AI on Jetson Nano | @NVIDIA | ๐ฆฟ Robotics | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ
| ๐บ๐ธ English | ๐ Computer vision ๐ป Hardware ๐ฆฟ Robotics |\n",
- "| 13 | Graduate Summer School: Deep Learning, Feature Learning | Yann LeCun, Yoshua Bengio, Geoffrey Hinton, Andrew Ng, Stanley Osher@UCLA | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning |\n",
- "| 14 | Deep Learning 2017 | Ali Ghodsi@University of Waterloo | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning |\n",
- "| 15 | Deep Learning | Ali Ghodsi@University of Waterloo | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning |\n",
- "| 16 | Statistical Machine Learning: Spring 2017 | Ryan Tibshirani, Larry Wasserman@Carnegie Mellon University | ๐ง Machine learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ฅ Video ๐ง Machine learning |\n",
- "| 17 | UVA Deep Learning Course | Yuki Asano@University of Amsterdam | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning |\n",
- "| 18 | MIT Deep Learning and Artificial Intelligence Lectures | Lex Fridman@MIT | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning ๐ Self driving |\n",
- "| 19 | Introduction to Deep Learning | Alexander Amini & Ava Amini & Sadhana Lolla@MIT | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ Python ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning |\n",
- "| 20 | Deep Reinforcement Learning | Sergey Levine@UC Berkeley | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning |\n",
- "| 21 | Practical Deep Learning | Jeremy Howard | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning |\n",
- "| 22 | Introduction to Deep Learning | Bhiksha Raj, Rita Singh@Carnegie Mellon University | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning |\n",
- "| 23 | AI for Everyone | Andrew Ng | ๐ค AI | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ง Machine learning ๐ค AI ๐ฝ Deep learning |\n",
- "| 24 | Yann LeCunโs Deep Learning Course at CDS | Yann LeCun@New York University | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English ๐ซ๐ท franรงais | ๐จโ๐ซ Projects ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning |\n",
- "| 25 | Neural Networks and Deep Learning | Alan Blair@University of New South Wales | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning |\n",
- "| 26 | Spinning Up in Deep Reinforcement Learning | Josh Achiam | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ง Machine learning ๐ฝ Deep learning ๐ฎ Reinforcement learning |\n",
- "| | | | | | | | | | |\n",
- "| 27 | Introduction to Deep Learning | Alex Smola, Mu Li@UC Berkeley | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning |\n",
- "| 28 | Dive into Deep Learning in 1 Day | Alex Smola@ODSC | ๐ฝ Deep learning | ๐ฉ Free | ๐ง Intermediate | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ง Machine learning ๐ฝ Deep learning |\n",
- "| 29 | Dive into Deep Learning | Rachel Hu, Aston Zhang@GTC | ๐ฝ Deep learning | ๐ฉ Free | ๐ง Intermediate | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ง Machine learning ๐ฝ Deep learning |\n",
- "| 30 | ๅจๆๅญฆๆทฑๅบฆๅญฆไน ๅจ็บฟ่ฏพ็จ | Mu Li@D2L | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐จ๐ณ ไธญๆ | ๐จโ๐ซ Projects ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning |\n",
- "| 31 | Practical Machine Learning | Alex Smola, Mu Li | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ง Machine learning ๐ฝ Deep learning |\n",
- "| 32 | Learning from Data | Yaser Abu-Mostafa@Caltech | ๐ง Machine learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ง Machine learning โก๏ธ Big data |\n",
- "| 33 | Computational Systems Biology: Deep Learning in the Life Sciences | Manolis Kellis@MIT | ๐ฝ Deep learning | ๐ฉ Free | ๐ง Intermediate | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ Data visualization ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning |\n",
- "| 34 | Introduction to Deep Learning and Generative Models | Sebastian Raschka@UNIVERSITY OF WISCONSINโMADISON | ๐ฝ Deep learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ Python ๐ฅ Video ๐ง Machine learning ๐ฝ 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 | ๐ฝ Deep learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ Python ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning ๐ฃ๏ธ NLP |\n",
- "| 36 | Deep Learning on Computational Accelerators | Alex Bronstein & Chaim Baskin & Moshe Kimhi & Mitchell Keren Taraday@Technion | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ Python ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning |\n",
- "| 37 | Applications of Deep Neural Networks | Jeff Heaton@Washington University in St. Louis | ๐ฝ Deep learning | ๐ฉ Free | ๐ง Intermediate | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ Python ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning ๐ฝ Deep learning |\n",
- "| 38 | Introduction to Deep Learning | Alexander Amini & Ava Amini & Sadhana Lolla@MIT | ๐ฝ Deep learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ Python ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning ๐ฃ๏ธ NLP ๐ Computer vision |\n",
- "| 39 | Deep Learning | Justin Sirignano@Univ. of Illinois at Urbana-Champaign | ๐ฝ Deep learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ Python ๐ง Machine learning ๐ฝ Deep learning ๐ฃ๏ธ NLP |\n",
- "| 40 | Deep learning course | Victor Lempitsky@Skoltech | ๐ฝ Deep learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English ๐ท๐บ ััััะบะธะน | ๐ Python ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning ๐ฃ๏ธ NLP |\n",
- "| 41 | Deep Learning for Natural Language Processing | Phil Blunsom@Oxford | ๐ง Machine learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ง Machine learning |\n",
- "| 42 | Machine Learning | Tony Jebara@Columbia University | ๐ง Machine learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ง Machine learning |\n",
- "| 43 | Harvard University: Introduction to Data Science with Python | Pavlos Protopapas@Havard University | ๐ฟ Data science | ๐ฉ Free | ๐ง Intermediate | ๐ฉ Self-paced | โ
| ๐บ๐ธ English | ๐ฟ Data science ๐ง Machine learning |\n",
- "| 44 | Introduction to Machine Learning | Jennifer Listgarten, Jitendra Malik@UC Berkeley | ๐ฟ Data science | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ง Machine learning |\n",
- "| 45 | Natural Language Processing with Deep Learning | Christopher Manning@Stanford | ๐ฝ Deep learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฝ Deep learning |\n",
- "| 46 | Deep Learning for Computer Vision | Fei-Fei Li, Yunzhu Li, Ruohan Gao@Stanford | ๐ฝ Deep learning | ๐ฉ Free | ๐ง Intermediate | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฝ Deep learning |\n",
- "| 47 | Advanced Robotics | Pieter Abbeel@UC Berkeley | ๐ฆฟ Robotics | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฆฟ Robotics |\n",
- "| 48 | Machine Learning | Thorsten Joachims@Cornell University | ๐ง Machine learning | ๐ฉ Free | ๐ง Intermediate | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ง Machine learning |\n",
- "| 49 | Machine Learning for Data Science | Lillian Lee@Cornell University | ๐ง Machine learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฟ Data science ๐ง Machine learning |\n",
- "| 50 | Deep Learning | @New York University | ๐ฝ Deep learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฝ Deep learning |\n",
- "| 51 | Deep Learning for Computer Vision and Natural Language Processing | Liangliang Cao, Dr. James Fan@Columbia University | ๐ฝ Deep learning | ๐ฉ Free | ๐ง Intermediate | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฝ Deep learning |\n",
- "| 52 | Introduction to Matrix Methods | John C. Duchi@Stanford | ๐ Python | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐งฎ Math |\n",
- "| 53 | Machine Learning | Tom Mitchell@Carnegie Mellon University | ๐ง Machine learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ง Machine learning |\n",
- "| 54 | Introduction to Deep Learning | Bhiksha Raj@Carnegie Mellon University | ๐ฝ Deep learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฝ Deep learning |\n",
- "| 55 | Mining Massive Data Sets | Jure Leskovec, Mina Ghashami@Stanford | ๐ฟ Data science | ๐ฉ Free | ๐ง Intermediate | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฟ Data science |\n",
- "| 56 | Reinforcement Learning in the Wild | | ๐ฟ Data science | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฎ Reinforcement learning |\n",
- "| 57 | UVA DEEP LEARNING COURSE | Yuki Asano | ๐ฝ Deep learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฝ Deep learning |\n",
- "| 58 | Machine Learning for Beginners | Jen Looper, Stephen Howell, Francesca Lazzeri, Tomomi Imura@Microsoft | ๐ง Machine learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฟ Data science ๐ Python |\n",
- "| 59 | Machine Learning Crash Course with TensorFlow APIs | Google for Developers@Google for Developers | ๐ง Machine learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ง Machine learning |\n",
- "| 60 | Deep Learning course | Charles Ollion, Olivier Grisel@Institut polytechnique de Paris | ๐ฝ Deep learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English ๐ซ๐ท franรงais | ๐ Python ๐ฝ Deep learning |\n",
- "| 61 | Full Stack Deep Learning | Josh Tobin, Sergey Karayev, Pieter Abbeel, others | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ Python ๐ฝ Deep learning |\n",
- "| 62 | mlcourse.ai โ Open Machine Learning Course | Yury Kashnitsky@mlcourse.ai | ๐ง Machine learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ Python ๐ง Machine learning |\n",
- "| 63 | Deep Learning Using PyTorch | Hossein Hajiabolhassan | ๐ฝ Deep learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ Python ๐ฝ Deep learning |\n",
- "| 64 | A Machine Learning Course with Python | Amirsina Torfi@ Machine Learning Mindset | ๐ง Machine learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ง Machine learning |\n",
- "| 65 | MLOps Zoomcamp | Alexey Grigorev@DataTalks.Club | ๐ง Machine learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ Python ๐ง Machine learning |\n",
- "| 66 | Machine Learning course | Vladislav Goncharenko, Radoslav Neychev@MIPT | ๐ง Machine learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English ๐ท๐บ ััััะบะธะน | ๐ Python ๐ง Machine learning |\n",
- "| 67 | Machine Learning | Andrew Ng@Stanford | ๐ง Machine learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ง Machine learning |\n",
- "| 68 | Making Friends with Machine Learning | Cassie Kozyrkov | ๐ง Machine learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ง Machine learning |\n",
- "| 69 | Applied Machine Learning | Volodymyr Kuleshov@Cornell University | ๐ง Machine learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ง Machine learning |\n",
- "| 70 | Introduction to Machine Learning | Dmitry Kobak@University of Tรผbingen | ๐ง Machine learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ง Machine learning |\n",
- "| 71 | Statistical Machine Learning | Ulrike von Luxburg@University of Tรผbingen | ๐ง Machine learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ง Machine learning |\n",
- "| 72 | Probabilistic Machine Learning | Philipp Hennig@University of Tรผbingen | ๐ง Machine learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ง Machine learning |\n",
- "| 73 | Machine Learning for Healthcare | Peter Szolovits, David Sontag@MIT | ๐ง Machine learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ง Machine learning |\n",
- "| 74 | Neural Networks: Zero to Hero | Andrej Karpathy@karpathy.ai | ๐ฝ Deep learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ฝ Deep learning |\n",
- "| 75 | Deep Learning โ Andreas Geiger | Andreas Zell@University of Tรผbingen | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ฝ Deep learning |\n",
- "| 76 | Foundation Models | Samuel Albanie | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ค AI ๐ฝ Deep learning |\n",
- "| 77 | Yann LeCunโs Deep Learning Course | Alfredo Canziani@NYU | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ฝ Deep learning |\n",
- "| 78 | Deep Unsupervised Learning | Pieter Abbeel, Peter Chen, others | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ฝ Deep learning |\n",
- "| 79 | Deep Neural Networks | Sergey Levine, Phillip Isola@UC Berkeley | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ฝ Deep learning |\n",
- "| 80 | Deep Learning | Andrew Ng@Stanford | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ฝ Deep learning |\n",
- "| 81 | Deep Learning for Art, Aesthetics, and Creativity | Ali Jahanian, Alyosha Efros, others@MIT | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ฝ Deep learning |\n",
- "| 82 | Introduction to Artificial Intelligence | Pieter Abbeel, Dan Klein, John DeNero@UC Berkeley | ๐ค AI | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ค AI |\n",
- "| 83 | Advanced Artificial Intelligence | Bart Selman@Cornell University | ๐ค AI | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ค AI |\n",
- "| 84 | The Society Of Mind | Marvin Minsky@MIT | ๐ค AI | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ค AI |\n",
- "| 85 | Foundations of Artificial Intelligence | Bart Selman@Cornell University | ๐ค AI | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ค AI |"
+ "| | Title | By | Topic | Price | Level | Type | Cert | Language | Tag |\n",
+ "|---:|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:--------------------|:---------------|:----------------|:--------------|:-------|:-----------------------|:--------------------------------------------------------------------------------------------------|\n",
+ "| 1 | Data Visualization | @freeCodeCamp | ๐ฟ Data science | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ
| ๐บ๐ธ English | ๐ฟ Data science ๐ Data visualization ๐ซ Javascript ๐จโ๐ซ Projects |\n",
+ "| 2 | Relational Database | @freeCodeCamp | ๐ฟ Data science | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ
| ๐บ๐ธ English | ๐ฟ Data science ๐จโ๐ซ Projects ๐ SQL |\n",
+ "| 3 | Scientific Computing with Python | Charles Severance@freeCodeCamp | ๐ฟ Data science | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ
| ๐บ๐ธ English | ๐ฟ Data science ๐จโ๐ซ Projects ๐ Python ๐ฅ Video |\n",
+ "| 4 | Data Analysis with Python | Santiago Basulto@freeCodeCamp | ๐ฟ Data science | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ
| ๐บ๐ธ English | ๐ฟ Data science ๐จโ๐ซ Projects ๐ Python ๐ฅ Video |\n",
+ "| 5 | Machine Learning with Python | Tim Ruscica@freeCodeCamp | ๐ค AI | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ
| ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ Python ๐ฅ Video ๐ง Machine learning |\n",
+ "| 6 | Big Data, Large Scale Machine Learning | John Langford, Yann LeCun@New York University | ๐ง Machine learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ฅ Video ๐ง Machine learning โก๏ธ Big data |\n",
+ "| 7 | Artificial Intelligence | Patrick Henry Winston@MIT | ๐ค AI | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ฅ Video ๐ค AI |\n",
+ "| 8 | Natural Language Processing with Deep Learning | Chris Manning@Stanford | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ฅ Video ๐ฝ Deep learning ๐ฃ๏ธ NLP |\n",
+ "| 9 | Machine Learning: 2014-2015 | Nando de Freitas@Oxford | ๐ง Machine learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ฅ Video ๐ง Machine learning |\n",
+ "| 10 | Getting Started with Deep Learning | @NVIDIA | ๐ฝ Deep learning | ๐ฅ Paid of 90$ | ๐ฅ Advanced | ๐ฉ Self-paced | โ
| ๐บ๐ธ English | ๐ฟ Data science ๐จโ๐ซ Projects ๐ง Machine learning โก๏ธ Big data ๐ฝ Deep learning ๐ Computer vision |\n",
+ "| 11 | Building Video AI Applications at the Edge on Jetson Nano | @NVIDIA | ๐ฆฟ Robotics | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ
| ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ง Machine learning ๐ฝ Deep learning ๐ Computer vision |\n",
+ "| 12 | Getting Started with AI on Jetson Nano | @NVIDIA | ๐ฆฟ Robotics | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ
| ๐บ๐ธ English | ๐ Computer vision ๐ป Hardware ๐ฆฟ Robotics |\n",
+ "| 13 | Graduate Summer School: Deep Learning, Feature Learning | Yann LeCun, Yoshua Bengio, Geoffrey Hinton, Andrew Ng, Stanley Osher@UCLA | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning |\n",
+ "| 14 | Deep Learning 2017 | Ali Ghodsi@University of Waterloo | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning |\n",
+ "| 15 | Deep Learning | Ali Ghodsi@University of Waterloo | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning |\n",
+ "| 16 | Statistical Machine Learning: Spring 2017 | Ryan Tibshirani, Larry Wasserman@Carnegie Mellon University | ๐ง Machine learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ฅ Video ๐ง Machine learning |\n",
+ "| 17 | UVA Deep Learning Course | Yuki Asano@University of Amsterdam | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning |\n",
+ "| 18 | MIT Deep Learning and Artificial Intelligence Lectures | Lex Fridman@MIT | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning ๐ Self driving |\n",
+ "| 19 | Introduction to Deep Learning | Alexander Amini & Ava Amini & Sadhana Lolla@MIT | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ Python ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning |\n",
+ "| 20 | Deep Reinforcement Learning | Sergey Levine@UC Berkeley | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning |\n",
+ "| 21 | Practical Deep Learning | Jeremy Howard | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning |\n",
+ "| 22 | Introduction to Deep Learning | Bhiksha Raj, Rita Singh@Carnegie Mellon University | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning |\n",
+ "| 23 | AI for Everyone | Andrew Ng | ๐ค AI | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ง Machine learning ๐ค AI ๐ฝ Deep learning |\n",
+ "| 24 | Yann LeCunโs Deep Learning Course at CDS | Yann LeCun@New York University | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English ๐ซ๐ท franรงais | ๐จโ๐ซ Projects ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning |\n",
+ "| 25 | Neural Networks and Deep Learning | Alan Blair@University of New South Wales | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning |\n",
+ "| 26 | Spinning Up in Deep Reinforcement Learning | Josh Achiam | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ง Machine learning ๐ฝ Deep learning ๐ฎ Reinforcement learning |\n",
+ "| | | | | | | | | | |\n",
+ "| 27 | Introduction to Deep Learning | Alex Smola, Mu Li@UC Berkeley | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning |\n",
+ "| 28 | Dive into Deep Learning in 1 Day | Alex Smola@ODSC | ๐ฝ Deep learning | ๐ฉ Free | ๐ง Intermediate | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ง Machine learning ๐ฝ Deep learning |\n",
+ "| 29 | Dive into Deep Learning | Rachel Hu, Aston Zhang@GTC | ๐ฝ Deep learning | ๐ฉ Free | ๐ง Intermediate | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ง Machine learning ๐ฝ Deep learning |\n",
+ "| 30 | ๅจๆๅญฆๆทฑๅบฆๅญฆไน ๅจ็บฟ่ฏพ็จ | Mu Li@D2L | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐จ๐ณ ไธญๆ | ๐จโ๐ซ Projects ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning |\n",
+ "| 31 | Practical Machine Learning | Alex Smola, Mu Li | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ง Machine learning ๐ฝ Deep learning |\n",
+ "| 32 | Learning from Data | Yaser Abu-Mostafa@Caltech | ๐ง Machine learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ง Machine learning โก๏ธ Big data |\n",
+ "| 33 | Computational Systems Biology: Deep Learning in the Life Sciences | Manolis Kellis@MIT | ๐ฝ Deep learning | ๐ฉ Free | ๐ง Intermediate | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ Data visualization ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning |\n",
+ "| 34 | Introduction to Deep Learning and Generative Models | Sebastian Raschka@UNIVERSITY OF WISCONSINโMADISON | ๐ฝ Deep learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ Python ๐ฅ Video ๐ง Machine learning ๐ฝ 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 | ๐ฝ Deep learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ Python ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning ๐ฃ๏ธ NLP |\n",
+ "| 36 | Deep Learning on Computational Accelerators | Alex Bronstein & Chaim Baskin & Moshe Kimhi & Mitchell Keren Taraday@Technion | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ Python ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning |\n",
+ "| 37 | Applications of Deep Neural Networks | Jeff Heaton@Washington University in St. Louis | ๐ฝ Deep learning | ๐ฉ Free | ๐ง Intermediate | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ Python ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning ๐ฝ Deep learning |\n",
+ "| 38 | Introduction to Deep Learning | Alexander Amini & Ava Amini & Sadhana Lolla@MIT | ๐ฝ Deep learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ Python ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning ๐ฃ๏ธ NLP ๐ Computer vision |\n",
+ "| 39 | Deep Learning | Justin Sirignano@Univ. of Illinois at Urbana-Champaign | ๐ฝ Deep learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ Python ๐ง Machine learning ๐ฝ Deep learning ๐ฃ๏ธ NLP |\n",
+ "| 40 | Deep learning course | Victor Lempitsky@Skoltech | ๐ฝ Deep learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English ๐ท๐บ ััััะบะธะน | ๐ Python ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning ๐ฃ๏ธ NLP |\n",
+ "| 41 | Deep Learning for Natural Language Processing | Phil Blunsom@Oxford | ๐ง Machine learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ง Machine learning |\n",
+ "| 42 | Machine Learning | Tony Jebara@Columbia University | ๐ง Machine learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ง Machine learning |\n",
+ "| 43 | Harvard University: Introduction to Data Science with Python | Pavlos Protopapas@Havard University | ๐ฟ Data science | ๐ฉ Free | ๐ง Intermediate | ๐ฉ Self-paced | โ
| ๐บ๐ธ English | ๐ฟ Data science ๐ง Machine learning |\n",
+ "| 44 | Introduction to Machine Learning | Jennifer Listgarten, Jitendra Malik@UC Berkeley | ๐ฟ Data science | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ง Machine learning |\n",
+ "| 45 | Natural Language Processing with Deep Learning | Christopher Manning@Stanford | ๐ฝ Deep learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฝ Deep learning |\n",
+ "| 46 | Deep Learning for Computer Vision | Fei-Fei Li, Yunzhu Li, Ruohan Gao@Stanford | ๐ฝ Deep learning | ๐ฉ Free | ๐ง Intermediate | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฝ Deep learning |\n",
+ "| 47 | Advanced Robotics | Pieter Abbeel@UC Berkeley | ๐ฆฟ Robotics | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฆฟ Robotics |\n",
+ "| 48 | Machine Learning | Thorsten Joachims@Cornell University | ๐ง Machine learning | ๐ฉ Free | ๐ง Intermediate | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ง Machine learning |\n",
+ "| 49 | Machine Learning for Data Science | Lillian Lee@Cornell University | ๐ง Machine learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฟ Data science ๐ง Machine learning |\n",
+ "| 50 | Deep Learning | @New York University | ๐ฝ Deep learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฝ Deep learning |\n",
+ "| 51 | Deep Learning for Computer Vision and Natural Language Processing | Liangliang Cao, Dr. James Fan@Columbia University | ๐ฝ Deep learning | ๐ฉ Free | ๐ง Intermediate | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฝ Deep learning |\n",
+ "| 52 | Introduction to Matrix Methods | John C. Duchi@Stanford | ๐ Python | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐งฎ Math |\n",
+ "| 53 | Machine Learning | Tom Mitchell@Carnegie Mellon University | ๐ง Machine learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ง Machine learning |\n",
+ "| 54 | Introduction to Deep Learning | Bhiksha Raj@Carnegie Mellon University | ๐ฝ Deep learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฝ Deep learning |\n",
+ "| 55 | Mining Massive Data Sets | Jure Leskovec, Mina Ghashami@Stanford | ๐ฟ Data science | ๐ฉ Free | ๐ง Intermediate | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฟ Data science |\n",
+ "| 56 | Reinforcement Learning in the Wild | | ๐ฟ Data science | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฎ Reinforcement learning |\n",
+ "| 57 | UVA DEEP LEARNING COURSE | Yuki Asano | ๐ฝ Deep learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฝ Deep learning |\n",
+ "| 58 | Machine Learning for Beginners | Jen Looper, Stephen Howell, Francesca Lazzeri, Tomomi Imura@Microsoft | ๐ง Machine learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฟ Data science ๐ Python |\n",
+ "| 59 | Machine Learning Crash Course with TensorFlow APIs | Google for Developers@Google for Developers | ๐ง Machine learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ง Machine learning |\n",
+ "| 60 | Deep Learning course | Charles Ollion, Olivier Grisel@Institut polytechnique de Paris | ๐ฝ Deep learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English ๐ซ๐ท franรงais | ๐ Python ๐ฝ Deep learning |\n",
+ "| 61 | Full Stack Deep Learning | Josh Tobin, Sergey Karayev, Pieter Abbeel, Stephanie Sher, James Le, others | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ Python ๐ฝ Deep learning |\n",
+ "| 62 | mlcourse.ai โ Open Machine Learning Course | Yury Kashnitsky@mlcourse.ai | ๐ง Machine learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ Python ๐ง Machine learning |\n",
+ "| 63 | Deep Learning Using PyTorch | Hossein Hajiabolhassan | ๐ฝ Deep learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ Python ๐ฝ Deep learning |\n",
+ "| 64 | A Machine Learning Course with Python | Amirsina Torfi@ Machine Learning Mindset | ๐ง Machine learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ง Machine learning |\n",
+ "| 65 | MLOps Zoomcamp | Alexey Grigorev@DataTalks.Club | ๐ง Machine learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ Python ๐ง Machine learning |\n",
+ "| 66 | Machine Learning course | Vladislav Goncharenko, Radoslav Neychev@MIPT | ๐ง Machine learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English ๐ท๐บ ััััะบะธะน | ๐ Python ๐ง Machine learning |\n",
+ "| 67 | Machine Learning | Andrew Ng@Stanford | ๐ง Machine learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ง Machine learning |\n",
+ "| 68 | Making Friends with Machine Learning | Cassie Kozyrkov | ๐ง Machine learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ง Machine learning |\n",
+ "| 69 | Applied Machine Learning | Volodymyr Kuleshov@Cornell University | ๐ง Machine learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ง Machine learning |\n",
+ "| 70 | Introduction to Machine Learning | Dmitry Kobak@University of Tรผbingen | ๐ง Machine learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ง Machine learning |\n",
+ "| 71 | Statistical Machine Learning | Ulrike von Luxburg@University of Tรผbingen | ๐ง Machine learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ง Machine learning |\n",
+ "| 72 | Probabilistic Machine Learning | Philipp Hennig@University of Tรผbingen | ๐ง Machine learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ง Machine learning |\n",
+ "| 73 | Machine Learning for Healthcare | Peter Szolovits, David Sontag@MIT | ๐ง Machine learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ง Machine learning |\n",
+ "| 74 | Neural Networks: Zero to Hero | Andrej Karpathy@karpathy.ai | ๐ฝ Deep learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ฝ Deep learning |\n",
+ "| 75 | Deep Learning โ Andreas Geiger | Andreas Zell@University of Tรผbingen | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ฝ Deep learning |\n",
+ "| 76 | Foundation Models | Samuel Albanie | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ค AI ๐ฝ Deep learning |\n",
+ "| 77 | Yann LeCunโs Deep Learning Course | Alfredo Canziani@NYU | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ฝ Deep learning |\n",
+ "| 78 | Deep Unsupervised Learning | Pieter Abbeel, Peter Chen, others | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ฝ Deep learning |\n",
+ "| 79 | Deep Neural Networks | Sergey Levine, Phillip Isola@UC Berkeley | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ฝ Deep learning |\n",
+ "| 80 | Deep Learning | Andrew Ng@Stanford | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ฝ Deep learning |\n",
+ "| 81 | Deep Learning for Art, Aesthetics, and Creativity | Ali Jahanian, Alyosha Efros, others@MIT | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ฝ Deep learning |\n",
+ "| 82 | Introduction to Artificial Intelligence | Pieter Abbeel, Dan Klein, John DeNero@UC Berkeley | ๐ค AI | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ค AI |\n",
+ "| 83 | Advanced Artificial Intelligence | Bart Selman@Cornell University | ๐ค AI | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ค AI |\n",
+ "| 84 | The Society Of Mind | Marvin Minsky@MIT | ๐ค AI | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ค AI |\n",
+ "| 85 | Foundations of Artificial Intelligence | Bart Selman@Cornell University | ๐ค AI | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ค AI |\n",
+ "| 86 | Introduction to Deep Learning | Yingyu Liang@Princeton University | ๐ฝ Deep learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฝ Deep learning |\n",
+ "| 87 | Deep learning cource | Franรงois Fleuret@University of Geneva | ๐ฝ Deep learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ฝ Deep learning |\n",
+ "| 88 | Deep learning courses | Marc Lelarge, Andrei Bursuc, Jill-Jรชnn Vie@Dataflowr | ๐ฝ Deep learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ฝ Deep learning |\n",
+ "| 89 | Structure and Interpretation of Deep Networks | Andrew Ross, Yonatan Belinkov, Julius Adebayo, others@MIT | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฝ Deep learning |\n",
+ "| 90 | Deep Reinforcement Learning | Sergey Levine@UC Berkeley | ๐ฝ Deep learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ฝ Deep learning |\n",
+ "| 91 | Neural Networks | Hugo Larochelle@Universitรฉ de Sherbooke | ๐ฝ Deep learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ง Machine learning |\n",
+ "| 92 | NYU Center for data science | Yann LeCun, Alfredo Canziani@New York University | ๐ฝ Deep learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ฝ Deep learning |"
],
"text/plain": [
""
@@ -217,7 +226,7 @@
},
{
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+ "execution_count": 10,
"metadata": {
"tags": [
"remove_cell"
@@ -225,11 +234,11 @@
},
"outputs": [
{
- "name": "stdout",
+ "name": "stderr",
"output_type": "stream",
"text": [
"[NbConvertApp] Converting notebook README.ipynb to markdown\n",
- "[NbConvertApp] Writing 73783 bytes to README.md\n"
+ "[NbConvertApp] Writing 80674 bytes to README.md\n"
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@@ -256,7 +265,7 @@
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diff --git a/awesome/README.md b/awesome/README.md
index bbf14a72a4..6edafe3371 100644
--- a/awesome/README.md
+++ b/awesome/README.md
@@ -5,92 +5,99 @@
## Courses
-| | Title | By | Topic | Price | Level | Type | Certificate | Language | Tag |
-|---:|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:--------------------|:---------------|:----------------|:--------------|:--------------|:-----------------------|:--------------------------------------------------------------------------------------------------|
-| 1 | Data Visualization | @freeCodeCamp | ๐ฟ Data science | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ
| ๐บ๐ธ English | ๐ฟ Data science ๐ Data visualization ๐ซ Javascript ๐จโ๐ซ Projects |
-| 2 | Relational Database | @freeCodeCamp | ๐ฟ Data science | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ
| ๐บ๐ธ English | ๐ฟ Data science ๐จโ๐ซ Projects ๐ SQL |
-| 3 | Scientific Computing with Python | Charles Severance@freeCodeCamp | ๐ฟ Data science | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ
| ๐บ๐ธ English | ๐ฟ Data science ๐จโ๐ซ Projects ๐ Python ๐ฅ Video |
-| 4 | Data Analysis with Python | Santiago Basulto@freeCodeCamp | ๐ฟ Data science | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ
| ๐บ๐ธ English | ๐ฟ Data science ๐จโ๐ซ Projects ๐ Python ๐ฅ Video |
-| 5 | Machine Learning with Python | Tim Ruscica@freeCodeCamp | ๐ค AI | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ
| ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ Python ๐ฅ Video ๐ง Machine learning |
-| 6 | Big Data, Large Scale Machine Learning | John Langford, Yann LeCun@New York University | ๐ง Machine learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ฅ Video ๐ง Machine learning โก๏ธ Big data |
-| 7 | Artificial Intelligence | Patrick Henry Winston@MIT | ๐ค AI | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ฅ Video ๐ค AI |
-| 8 | Natural Language Processing with Deep Learning | Chris Manning@Stanford | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ฅ Video ๐ฝ Deep learning ๐ฃ๏ธ NLP |
-| 9 | Machine Learning: 2014-2015 | Nando de Freitas@Oxford | ๐ง Machine learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ฅ Video ๐ง Machine learning |
-| 10 | Getting Started with Deep Learning | @NVIDIA | ๐ฝ Deep learning | ๐ฅ Paid of 90$ | ๐ฅ Advanced | ๐ฉ Self-paced | โ
| ๐บ๐ธ English | ๐ฟ Data science ๐จโ๐ซ Projects ๐ง Machine learning โก๏ธ Big data ๐ฝ Deep learning ๐ Computer vision |
-| 11 | Building Video AI Applications at the Edge on Jetson Nano | @NVIDIA | ๐ฆฟ Robotics | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ
| ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ง Machine learning ๐ฝ Deep learning ๐ Computer vision |
-| 12 | Getting Started with AI on Jetson Nano | @NVIDIA | ๐ฆฟ Robotics | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ
| ๐บ๐ธ English | ๐ Computer vision ๐ป Hardware ๐ฆฟ Robotics |
-| 13 | Graduate Summer School: Deep Learning, Feature Learning | Yann LeCun, Yoshua Bengio, Geoffrey Hinton, Andrew Ng, Stanley Osher@UCLA | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning |
-| 14 | Deep Learning 2017 | Ali Ghodsi@University of Waterloo | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning |
-| 15 | Deep Learning | Ali Ghodsi@University of Waterloo | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning |
-| 16 | Statistical Machine Learning: Spring 2017 | Ryan Tibshirani, Larry Wasserman@Carnegie Mellon University | ๐ง Machine learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ฅ Video ๐ง Machine learning |
-| 17 | UVA Deep Learning Course | Yuki Asano@University of Amsterdam | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning |
-| 18 | MIT Deep Learning and Artificial Intelligence Lectures | Lex Fridman@MIT | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning ๐ Self driving |
-| 19 | Introduction to Deep Learning | Alexander Amini & Ava Amini & Sadhana Lolla@MIT | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ Python ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning |
-| 20 | Deep Reinforcement Learning | Sergey Levine@UC Berkeley | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning |
-| 21 | Practical Deep Learning | Jeremy Howard | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning |
-| 22 | Introduction to Deep Learning | Bhiksha Raj, Rita Singh@Carnegie Mellon University | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning |
-| 23 | AI for Everyone | Andrew Ng | ๐ค AI | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ง Machine learning ๐ค AI ๐ฝ Deep learning |
-| 24 | Yann LeCunโs Deep Learning Course at CDS | Yann LeCun@New York University | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English ๐ซ๐ท franรงais | ๐จโ๐ซ Projects ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning |
-| 25 | Neural Networks and Deep Learning | Alan Blair@University of New South Wales | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning |
-| 26 | Spinning Up in Deep Reinforcement Learning | Josh Achiam | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ง Machine learning ๐ฝ Deep learning ๐ฎ Reinforcement learning |
-| | | | | | | | | | |
-| 27 | Introduction to Deep Learning | Alex Smola, Mu Li@UC Berkeley | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning |
-| 28 | Dive into Deep Learning in 1 Day | Alex Smola@ODSC | ๐ฝ Deep learning | ๐ฉ Free | ๐ง Intermediate | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ง Machine learning ๐ฝ Deep learning |
-| 29 | Dive into Deep Learning | Rachel Hu, Aston Zhang@GTC | ๐ฝ Deep learning | ๐ฉ Free | ๐ง Intermediate | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ง Machine learning ๐ฝ Deep learning |
-| 30 | ๅจๆๅญฆๆทฑๅบฆๅญฆไน ๅจ็บฟ่ฏพ็จ | Mu Li@D2L | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐จ๐ณ ไธญๆ | ๐จโ๐ซ Projects ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning |
-| 31 | Practical Machine Learning | Alex Smola, Mu Li | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ง Machine learning ๐ฝ Deep learning |
-| 32 | Learning from Data | Yaser Abu-Mostafa@Caltech | ๐ง Machine learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ง Machine learning โก๏ธ Big data |
-| 33 | Computational Systems Biology: Deep Learning in the Life Sciences | Manolis Kellis@MIT | ๐ฝ Deep learning | ๐ฉ Free | ๐ง Intermediate | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ Data visualization ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning |
-| 34 | Introduction to Deep Learning and Generative Models | Sebastian Raschka@UNIVERSITY OF WISCONSINโMADISON | ๐ฝ Deep learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ Python ๐ฅ Video ๐ง Machine learning ๐ฝ 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 | ๐ฝ Deep learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ Python ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning ๐ฃ๏ธ NLP |
-| 36 | Deep Learning on Computational Accelerators | Alex Bronstein & Chaim Baskin & Moshe Kimhi & Mitchell Keren Taraday@Technion | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ Python ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning |
-| 37 | Applications of Deep Neural Networks | Jeff Heaton@Washington University in St. Louis | ๐ฝ Deep learning | ๐ฉ Free | ๐ง Intermediate | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ Python ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning ๐ฝ Deep learning |
-| 38 | Introduction to Deep Learning | Alexander Amini & Ava Amini & Sadhana Lolla@MIT | ๐ฝ Deep learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ Python ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning ๐ฃ๏ธ NLP ๐ Computer vision |
-| 39 | Deep Learning | Justin Sirignano@Univ. of Illinois at Urbana-Champaign | ๐ฝ Deep learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ Python ๐ง Machine learning ๐ฝ Deep learning ๐ฃ๏ธ NLP |
-| 40 | Deep learning course | Victor Lempitsky@Skoltech | ๐ฝ Deep learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English ๐ท๐บ ััััะบะธะน | ๐ Python ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning ๐ฃ๏ธ NLP |
-| 41 | Deep Learning for Natural Language Processing | Phil Blunsom@Oxford | ๐ง Machine learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ง Machine learning |
-| 42 | Machine Learning | Tony Jebara@Columbia University | ๐ง Machine learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ง Machine learning |
-| 43 | Harvard University: Introduction to Data Science with Python | Pavlos Protopapas@Havard University | ๐ฟ Data science | ๐ฉ Free | ๐ง Intermediate | ๐ฉ Self-paced | โ
| ๐บ๐ธ English | ๐ฟ Data science ๐ง Machine learning |
-| 44 | Introduction to Machine Learning | Jennifer Listgarten, Jitendra Malik@UC Berkeley | ๐ฟ Data science | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ง Machine learning |
-| 45 | Natural Language Processing with Deep Learning | Christopher Manning@Stanford | ๐ฝ Deep learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฝ Deep learning |
-| 46 | Deep Learning for Computer Vision | Fei-Fei Li, Yunzhu Li, Ruohan Gao@Stanford | ๐ฝ Deep learning | ๐ฉ Free | ๐ง Intermediate | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฝ Deep learning |
-| 47 | Advanced Robotics | Pieter Abbeel@UC Berkeley | ๐ฆฟ Robotics | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฆฟ Robotics |
-| 48 | Machine Learning | Thorsten Joachims@Cornell University | ๐ง Machine learning | ๐ฉ Free | ๐ง Intermediate | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ง Machine learning |
-| 49 | Machine Learning for Data Science | Lillian Lee@Cornell University | ๐ง Machine learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฟ Data science ๐ง Machine learning |
-| 50 | Deep Learning | @New York University | ๐ฝ Deep learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฝ Deep learning |
-| 51 | Deep Learning for Computer Vision and Natural Language Processing | Liangliang Cao, Dr. James Fan@Columbia University | ๐ฝ Deep learning | ๐ฉ Free | ๐ง Intermediate | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฝ Deep learning |
-| 52 | Introduction to Matrix Methods | John C. Duchi@Stanford | ๐ Python | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐งฎ Math |
-| 53 | Machine Learning | Tom Mitchell@Carnegie Mellon University | ๐ง Machine learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ง Machine learning |
-| 54 | Introduction to Deep Learning | Bhiksha Raj@Carnegie Mellon University | ๐ฝ Deep learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฝ Deep learning |
-| 55 | Mining Massive Data Sets | Jure Leskovec, Mina Ghashami@Stanford | ๐ฟ Data science | ๐ฉ Free | ๐ง Intermediate | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฟ Data science |
-| 56 | Reinforcement Learning in the Wild | | ๐ฟ Data science | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฎ Reinforcement learning |
-| 57 | UVA DEEP LEARNING COURSE | Yuki Asano | ๐ฝ Deep learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฝ Deep learning |
-| 58 | Machine Learning for Beginners | Jen Looper, Stephen Howell, Francesca Lazzeri, Tomomi Imura@Microsoft | ๐ง Machine learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฟ Data science ๐ Python |
-| 59 | Machine Learning Crash Course with TensorFlow APIs | Google for Developers@Google for Developers | ๐ง Machine learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ง Machine learning |
-| 60 | Deep Learning course | Charles Ollion, Olivier Grisel@Institut polytechnique de Paris | ๐ฝ Deep learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English ๐ซ๐ท franรงais | ๐ Python ๐ฝ Deep learning |
-| 61 | Full Stack Deep Learning | Josh Tobin, Sergey Karayev, Pieter Abbeel, others | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ Python ๐ฝ Deep learning |
-| 62 | mlcourse.ai โ Open Machine Learning Course | Yury Kashnitsky@mlcourse.ai | ๐ง Machine learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ Python ๐ง Machine learning |
-| 63 | Deep Learning Using PyTorch | Hossein Hajiabolhassan | ๐ฝ Deep learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ Python ๐ฝ Deep learning |
-| 64 | A Machine Learning Course with Python | Amirsina Torfi@ Machine Learning Mindset | ๐ง Machine learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ง Machine learning |
-| 65 | MLOps Zoomcamp | Alexey Grigorev@DataTalks.Club | ๐ง Machine learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ Python ๐ง Machine learning |
-| 66 | Machine Learning course | Vladislav Goncharenko, Radoslav Neychev@MIPT | ๐ง Machine learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English ๐ท๐บ ััััะบะธะน | ๐ Python ๐ง Machine learning |
-| 67 | Machine Learning | Andrew Ng@Stanford | ๐ง Machine learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ง Machine learning |
-| 68 | Making Friends with Machine Learning | Cassie Kozyrkov | ๐ง Machine learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ง Machine learning |
-| 69 | Applied Machine Learning | Volodymyr Kuleshov@Cornell University | ๐ง Machine learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ง Machine learning |
-| 70 | Introduction to Machine Learning | Dmitry Kobak@University of Tรผbingen | ๐ง Machine learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ง Machine learning |
-| 71 | Statistical Machine Learning | Ulrike von Luxburg@University of Tรผbingen | ๐ง Machine learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ง Machine learning |
-| 72 | Probabilistic Machine Learning | Philipp Hennig@University of Tรผbingen | ๐ง Machine learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ง Machine learning |
-| 73 | Machine Learning for Healthcare | Peter Szolovits, David Sontag@MIT | ๐ง Machine learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ง Machine learning |
-| 74 | Neural Networks: Zero to Hero | Andrej Karpathy@karpathy.ai | ๐ฝ Deep learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ฝ Deep learning |
-| 75 | Deep Learning โ Andreas Geiger | Andreas Zell@University of Tรผbingen | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ฝ Deep learning |
-| 76 | Foundation Models | Samuel Albanie | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ค AI ๐ฝ Deep learning |
-| 77 | Yann LeCunโs Deep Learning Course | Alfredo Canziani@NYU | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ฝ Deep learning |
-| 78 | Deep Unsupervised Learning | Pieter Abbeel, Peter Chen, others | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ฝ Deep learning |
-| 79 | Deep Neural Networks | Sergey Levine, Phillip Isola@UC Berkeley | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ฝ Deep learning |
-| 80 | Deep Learning | Andrew Ng@Stanford | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ฝ Deep learning |
-| 81 | Deep Learning for Art, Aesthetics, and Creativity | Ali Jahanian, Alyosha Efros, others@MIT | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ฝ Deep learning |
-| 82 | Introduction to Artificial Intelligence | Pieter Abbeel, Dan Klein, John DeNero@UC Berkeley | ๐ค AI | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ค AI |
-| 83 | Advanced Artificial Intelligence | Bart Selman@Cornell University | ๐ค AI | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ค AI |
-| 84 | The Society Of Mind | Marvin Minsky@MIT | ๐ค AI | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ค AI |
-| 85 | Foundations of Artificial Intelligence | Bart Selman@Cornell University | ๐ค AI | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ค AI |
+| | Title | By | Topic | Price | Level | Type | Cert | Language | Tag |
+|---:|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:--------------------|:---------------|:----------------|:--------------|:-------|:-----------------------|:--------------------------------------------------------------------------------------------------|
+| 1 | Data Visualization | @freeCodeCamp | ๐ฟ Data science | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ
| ๐บ๐ธ English | ๐ฟ Data science ๐ Data visualization ๐ซ Javascript ๐จโ๐ซ Projects |
+| 2 | Relational Database | @freeCodeCamp | ๐ฟ Data science | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ
| ๐บ๐ธ English | ๐ฟ Data science ๐จโ๐ซ Projects ๐ SQL |
+| 3 | Scientific Computing with Python | Charles Severance@freeCodeCamp | ๐ฟ Data science | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ
| ๐บ๐ธ English | ๐ฟ Data science ๐จโ๐ซ Projects ๐ Python ๐ฅ Video |
+| 4 | Data Analysis with Python | Santiago Basulto@freeCodeCamp | ๐ฟ Data science | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ
| ๐บ๐ธ English | ๐ฟ Data science ๐จโ๐ซ Projects ๐ Python ๐ฅ Video |
+| 5 | Machine Learning with Python | Tim Ruscica@freeCodeCamp | ๐ค AI | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ
| ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ Python ๐ฅ Video ๐ง Machine learning |
+| 6 | Big Data, Large Scale Machine Learning | John Langford, Yann LeCun@New York University | ๐ง Machine learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ฅ Video ๐ง Machine learning โก๏ธ Big data |
+| 7 | Artificial Intelligence | Patrick Henry Winston@MIT | ๐ค AI | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ฅ Video ๐ค AI |
+| 8 | Natural Language Processing with Deep Learning | Chris Manning@Stanford | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ฅ Video ๐ฝ Deep learning ๐ฃ๏ธ NLP |
+| 9 | Machine Learning: 2014-2015 | Nando de Freitas@Oxford | ๐ง Machine learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ฅ Video ๐ง Machine learning |
+| 10 | Getting Started with Deep Learning | @NVIDIA | ๐ฝ Deep learning | ๐ฅ Paid of 90$ | ๐ฅ Advanced | ๐ฉ Self-paced | โ
| ๐บ๐ธ English | ๐ฟ Data science ๐จโ๐ซ Projects ๐ง Machine learning โก๏ธ Big data ๐ฝ Deep learning ๐ Computer vision |
+| 11 | Building Video AI Applications at the Edge on Jetson Nano | @NVIDIA | ๐ฆฟ Robotics | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ
| ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ง Machine learning ๐ฝ Deep learning ๐ Computer vision |
+| 12 | Getting Started with AI on Jetson Nano | @NVIDIA | ๐ฆฟ Robotics | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ
| ๐บ๐ธ English | ๐ Computer vision ๐ป Hardware ๐ฆฟ Robotics |
+| 13 | Graduate Summer School: Deep Learning, Feature Learning | Yann LeCun, Yoshua Bengio, Geoffrey Hinton, Andrew Ng, Stanley Osher@UCLA | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning |
+| 14 | Deep Learning 2017 | Ali Ghodsi@University of Waterloo | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning |
+| 15 | Deep Learning | Ali Ghodsi@University of Waterloo | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning |
+| 16 | Statistical Machine Learning: Spring 2017 | Ryan Tibshirani, Larry Wasserman@Carnegie Mellon University | ๐ง Machine learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ฅ Video ๐ง Machine learning |
+| 17 | UVA Deep Learning Course | Yuki Asano@University of Amsterdam | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning |
+| 18 | MIT Deep Learning and Artificial Intelligence Lectures | Lex Fridman@MIT | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning ๐ Self driving |
+| 19 | Introduction to Deep Learning | Alexander Amini & Ava Amini & Sadhana Lolla@MIT | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ Python ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning |
+| 20 | Deep Reinforcement Learning | Sergey Levine@UC Berkeley | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning |
+| 21 | Practical Deep Learning | Jeremy Howard | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning |
+| 22 | Introduction to Deep Learning | Bhiksha Raj, Rita Singh@Carnegie Mellon University | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning |
+| 23 | AI for Everyone | Andrew Ng | ๐ค AI | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ง Machine learning ๐ค AI ๐ฝ Deep learning |
+| 24 | Yann LeCunโs Deep Learning Course at CDS | Yann LeCun@New York University | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English ๐ซ๐ท franรงais | ๐จโ๐ซ Projects ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning |
+| 25 | Neural Networks and Deep Learning | Alan Blair@University of New South Wales | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning |
+| 26 | Spinning Up in Deep Reinforcement Learning | Josh Achiam | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ง Machine learning ๐ฝ Deep learning ๐ฎ Reinforcement learning |
+| | | | | | | | | | |
+| 27 | Introduction to Deep Learning | Alex Smola, Mu Li@UC Berkeley | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning |
+| 28 | Dive into Deep Learning in 1 Day | Alex Smola@ODSC | ๐ฝ Deep learning | ๐ฉ Free | ๐ง Intermediate | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ง Machine learning ๐ฝ Deep learning |
+| 29 | Dive into Deep Learning | Rachel Hu, Aston Zhang@GTC | ๐ฝ Deep learning | ๐ฉ Free | ๐ง Intermediate | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ง Machine learning ๐ฝ Deep learning |
+| 30 | ๅจๆๅญฆๆทฑๅบฆๅญฆไน ๅจ็บฟ่ฏพ็จ | Mu Li@D2L | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐จ๐ณ ไธญๆ | ๐จโ๐ซ Projects ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning |
+| 31 | Practical Machine Learning | Alex Smola, Mu Li | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐จโ๐ซ Projects ๐ง Machine learning ๐ฝ Deep learning |
+| 32 | Learning from Data | Yaser Abu-Mostafa@Caltech | ๐ง Machine learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ง Machine learning โก๏ธ Big data |
+| 33 | Computational Systems Biology: Deep Learning in the Life Sciences | Manolis Kellis@MIT | ๐ฝ Deep learning | ๐ฉ Free | ๐ง Intermediate | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ Data visualization ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning |
+| 34 | Introduction to Deep Learning and Generative Models | Sebastian Raschka@UNIVERSITY OF WISCONSINโMADISON | ๐ฝ Deep learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ Python ๐ฅ Video ๐ง Machine learning ๐ฝ 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 | ๐ฝ Deep learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ Python ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning ๐ฃ๏ธ NLP |
+| 36 | Deep Learning on Computational Accelerators | Alex Bronstein & Chaim Baskin & Moshe Kimhi & Mitchell Keren Taraday@Technion | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ Python ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning |
+| 37 | Applications of Deep Neural Networks | Jeff Heaton@Washington University in St. Louis | ๐ฝ Deep learning | ๐ฉ Free | ๐ง Intermediate | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ Python ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning ๐ฝ Deep learning |
+| 38 | Introduction to Deep Learning | Alexander Amini & Ava Amini & Sadhana Lolla@MIT | ๐ฝ Deep learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ Python ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning ๐ฃ๏ธ NLP ๐ Computer vision |
+| 39 | Deep Learning | Justin Sirignano@Univ. of Illinois at Urbana-Champaign | ๐ฝ Deep learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ Python ๐ง Machine learning ๐ฝ Deep learning ๐ฃ๏ธ NLP |
+| 40 | Deep learning course | Victor Lempitsky@Skoltech | ๐ฝ Deep learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English ๐ท๐บ ััััะบะธะน | ๐ Python ๐ฅ Video ๐ง Machine learning ๐ฝ Deep learning ๐ฃ๏ธ NLP |
+| 41 | Deep Learning for Natural Language Processing | Phil Blunsom@Oxford | ๐ง Machine learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ง Machine learning |
+| 42 | Machine Learning | Tony Jebara@Columbia University | ๐ง Machine learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ง Machine learning |
+| 43 | Harvard University: Introduction to Data Science with Python | Pavlos Protopapas@Havard University | ๐ฟ Data science | ๐ฉ Free | ๐ง Intermediate | ๐ฉ Self-paced | โ
| ๐บ๐ธ English | ๐ฟ Data science ๐ง Machine learning |
+| 44 | Introduction to Machine Learning | Jennifer Listgarten, Jitendra Malik@UC Berkeley | ๐ฟ Data science | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ง Machine learning |
+| 45 | Natural Language Processing with Deep Learning | Christopher Manning@Stanford | ๐ฝ Deep learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฝ Deep learning |
+| 46 | Deep Learning for Computer Vision | Fei-Fei Li, Yunzhu Li, Ruohan Gao@Stanford | ๐ฝ Deep learning | ๐ฉ Free | ๐ง Intermediate | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฝ Deep learning |
+| 47 | Advanced Robotics | Pieter Abbeel@UC Berkeley | ๐ฆฟ Robotics | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฆฟ Robotics |
+| 48 | Machine Learning | Thorsten Joachims@Cornell University | ๐ง Machine learning | ๐ฉ Free | ๐ง Intermediate | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ง Machine learning |
+| 49 | Machine Learning for Data Science | Lillian Lee@Cornell University | ๐ง Machine learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฟ Data science ๐ง Machine learning |
+| 50 | Deep Learning | @New York University | ๐ฝ Deep learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฝ Deep learning |
+| 51 | Deep Learning for Computer Vision and Natural Language Processing | Liangliang Cao, Dr. James Fan@Columbia University | ๐ฝ Deep learning | ๐ฉ Free | ๐ง Intermediate | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฝ Deep learning |
+| 52 | Introduction to Matrix Methods | John C. Duchi@Stanford | ๐ Python | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐งฎ Math |
+| 53 | Machine Learning | Tom Mitchell@Carnegie Mellon University | ๐ง Machine learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ง Machine learning |
+| 54 | Introduction to Deep Learning | Bhiksha Raj@Carnegie Mellon University | ๐ฝ Deep learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฝ Deep learning |
+| 55 | Mining Massive Data Sets | Jure Leskovec, Mina Ghashami@Stanford | ๐ฟ Data science | ๐ฉ Free | ๐ง Intermediate | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฟ Data science |
+| 56 | Reinforcement Learning in the Wild | | ๐ฟ Data science | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฎ Reinforcement learning |
+| 57 | UVA DEEP LEARNING COURSE | Yuki Asano | ๐ฝ Deep learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฝ Deep learning |
+| 58 | Machine Learning for Beginners | Jen Looper, Stephen Howell, Francesca Lazzeri, Tomomi Imura@Microsoft | ๐ง Machine learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฟ Data science ๐ Python |
+| 59 | Machine Learning Crash Course with TensorFlow APIs | Google for Developers@Google for Developers | ๐ง Machine learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ง Machine learning |
+| 60 | Deep Learning course | Charles Ollion, Olivier Grisel@Institut polytechnique de Paris | ๐ฝ Deep learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English ๐ซ๐ท franรงais | ๐ Python ๐ฝ Deep learning |
+| 61 | Full Stack Deep Learning | Josh Tobin, Sergey Karayev, Pieter Abbeel, Stephanie Sher, James Le, others | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ Python ๐ฝ Deep learning |
+| 62 | mlcourse.ai โ Open Machine Learning Course | Yury Kashnitsky@mlcourse.ai | ๐ง Machine learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ Python ๐ง Machine learning |
+| 63 | Deep Learning Using PyTorch | Hossein Hajiabolhassan | ๐ฝ Deep learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ Python ๐ฝ Deep learning |
+| 64 | A Machine Learning Course with Python | Amirsina Torfi@ Machine Learning Mindset | ๐ง Machine learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ง Machine learning |
+| 65 | MLOps Zoomcamp | Alexey Grigorev@DataTalks.Club | ๐ง Machine learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ Python ๐ง Machine learning |
+| 66 | Machine Learning course | Vladislav Goncharenko, Radoslav Neychev@MIPT | ๐ง Machine learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English ๐ท๐บ ััััะบะธะน | ๐ Python ๐ง Machine learning |
+| 67 | Machine Learning | Andrew Ng@Stanford | ๐ง Machine learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ง Machine learning |
+| 68 | Making Friends with Machine Learning | Cassie Kozyrkov | ๐ง Machine learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ง Machine learning |
+| 69 | Applied Machine Learning | Volodymyr Kuleshov@Cornell University | ๐ง Machine learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ง Machine learning |
+| 70 | Introduction to Machine Learning | Dmitry Kobak@University of Tรผbingen | ๐ง Machine learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ง Machine learning |
+| 71 | Statistical Machine Learning | Ulrike von Luxburg@University of Tรผbingen | ๐ง Machine learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ง Machine learning |
+| 72 | Probabilistic Machine Learning | Philipp Hennig@University of Tรผbingen | ๐ง Machine learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ง Machine learning |
+| 73 | Machine Learning for Healthcare | Peter Szolovits, David Sontag@MIT | ๐ง Machine learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ง Machine learning |
+| 74 | Neural Networks: Zero to Hero | Andrej Karpathy@karpathy.ai | ๐ฝ Deep learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ฝ Deep learning |
+| 75 | Deep Learning โ Andreas Geiger | Andreas Zell@University of Tรผbingen | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ฝ Deep learning |
+| 76 | Foundation Models | Samuel Albanie | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ค AI ๐ฝ Deep learning |
+| 77 | Yann LeCunโs Deep Learning Course | Alfredo Canziani@NYU | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ฝ Deep learning |
+| 78 | Deep Unsupervised Learning | Pieter Abbeel, Peter Chen, others | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ฝ Deep learning |
+| 79 | Deep Neural Networks | Sergey Levine, Phillip Isola@UC Berkeley | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ฝ Deep learning |
+| 80 | Deep Learning | Andrew Ng@Stanford | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ฝ Deep learning |
+| 81 | Deep Learning for Art, Aesthetics, and Creativity | Ali Jahanian, Alyosha Efros, others@MIT | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ฝ Deep learning |
+| 82 | Introduction to Artificial Intelligence | Pieter Abbeel, Dan Klein, John DeNero@UC Berkeley | ๐ค AI | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ค AI |
+| 83 | Advanced Artificial Intelligence | Bart Selman@Cornell University | ๐ค AI | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ค AI |
+| 84 | The Society Of Mind | Marvin Minsky@MIT | ๐ค AI | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ค AI |
+| 85 | Foundations of Artificial Intelligence | Bart Selman@Cornell University | ๐ค AI | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ค AI |
+| 86 | Introduction to Deep Learning | Yingyu Liang@Princeton University | ๐ฝ Deep learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฝ Deep learning |
+| 87 | Deep learning cource | Franรงois Fleuret@University of Geneva | ๐ฝ Deep learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ฝ Deep learning |
+| 88 | Deep learning courses | Marc Lelarge, Andrei Bursuc, Jill-Jรชnn Vie@Dataflowr | ๐ฝ Deep learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ฝ Deep learning |
+| 89 | Structure and Interpretation of Deep Networks | Andrew Ross, Yonatan Belinkov, Julius Adebayo, others@MIT | ๐ฝ Deep learning | ๐ฉ Free | ๐ฅ Advanced | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฝ Deep learning |
+| 90 | Deep Reinforcement Learning | Sergey Levine@UC Berkeley | ๐ฝ Deep learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ฝ Deep learning |
+| 91 | Neural Networks | Hugo Larochelle@Universitรฉ de Sherbooke | ๐ฝ Deep learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ง Machine learning |
+| 92 | NYU Center for data science | Yann LeCun, Alfredo Canziani@New York University | ๐ฝ Deep learning | ๐ฉ Free | ๐ฉ Beginner | ๐ฉ Self-paced | โ | ๐บ๐ธ English | ๐ฅ Video ๐ฝ Deep learning |
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