delhi2017

All content related to PyData Delhi 2017 - September 2,3 @ IIIT-Delhi.

All talks presented at PyData Delhi 2017:

#	Talk Title	Speaker Name	Link to Content	Twitter/Github handle	Youtube URL*
1	Maths Behind Deep Learning	Siraj Raval	Google Slides/slideshere etc.	@sirajraval	in process
2	Data Science for Social Good	Dr. Ponnurangam Kumaraguru	-	-	in process
3	Machine Learning in Online Advertising	Farhat Habib	-	@far_hat	in process
4	My Experiments with Python	Prabhu Ramachandran	-	@prabhu_r	in process
5	Recent Advances in NLP	Anuj Gupta	-	@anujgupta82	in process
6	Regression Analysis - The good, the bad and the untold	Jalem Raj Rohit	-	Dawny33, @data__wizard	in process
7	Things to know while choosing a Deep Learning library	Saurabh Agarwal	-	-	in process
8	Topic Modelling with Gensim	Parul Sethi	https://github.com/parulsethi/PydataDelhi2017	@parul1sethi	in process
9	Proximal Policy Optimization : The new kid in the RL jungle	Shubham Gupta	http://Sh.ubham.com/rltalk17	@shubham0075_1	in process
10	Building camera based intelligent applications	Nabarun Pal	-	@nabar0n	in process
11	Difficulties in working with the government data and how can tech help us resolve it	Ankita Mathur	-	-	in process
12	Using RNNs to implement a Full Adder using PyTorch	Madhur Tandon	-	-	in process
13	Deriving insights in minutes from serverless IoT Data Pipeline	Narendran R	-	-	in process
14	Machine Learning Architectures	Shagun Sodhani	Machine Learning Architectures	@shagunsodhani	in process
15	Information Diffusion in a Twitter Network	Sagar Chand Agarwal	-	-	in process
16	Interestingness of interestingness measures	Simrat Hanspal	-	-	in process
17	Dimensionality Reduction Techniques - "You can compress!"	Manan Singh	-	@mananpal1997	in process
18	Transfer Learning Using Tensorflow and Keras	Dr. Amita Kapoor	-	-	in process
19	Computer Vision in self driving cars	Ridhwan Luthra	-	Ridhwanluthra	in process
20	Hitchhiker's guide to using Neo4J: Trials & Tribulations of deploying a scalable graph API on Cloud	Vinay Kumar	-	-	in process
21	Convex.jl: A native Julia package for real or complex domain Convex Optimization	Ayush Pandey	-	-	in process
22	Managing Machine Learning Models in Production	Anand Chitipothu	-	-	in process
23	Text Classification using Convolutional Neural Networks in Tensorflow (NLP using DL)	Ronit Kishore	-	-	in process
24	Altair: Declarative Visualizations in Python	Nipun Batra	-	@nipun_batra	in process
25	Deep Learning for Semantic Segmentation	Vyom Sharma	Semantic Segmentation	@VCrizpy	in process
26	Winning Vision through DenseNets	Manan Singh	-	-	in process
27	Encoder Decoder Architecture	Navya Agarwal	-	-	in process
28	Stephanie | Virtual assistant at your service	Ujjwal Gupta	https://github.com/SlapBot/PyData-Conf	SlapBot	in process
29	Understanding Clustering: Supervising the unsupervised	Janu Verma	-	-	in process
30	Deep (Neural) Language Models	Kashyap Raval	-	-	in process
31	Beyond Clicks: Deep Sequential Models for Task Satisfaction Prediction with Conversational Agents	Rishabh Mehrotra	-	-	in process
32	Decoding Neural Image Captioning	Sachin Kumar	Decoding Neural Image Captioning	@sachinkmr_ , sachin-kmr	in process
33	Real-time log analytics using Probabilistic Data Structures in Redis	Srinivasan Rangarajan	-	-	in process
34	Pay Some Attention!	Prakhar Srivastava	-	-	in process
35	Machine Learning as a Service	Anand Chitipothu	-	-	in process
36	Deep Reinforcement Learning: A hands-on approach	Shubham Dokania	-	@shubhamdokania	in process
37	Create a sense2vec model using Gensim and Spacy from scraped news data and integrate it with Flask	Tanu Mittal, Abhishek Kapoor	-	-	in process
38	Introduction to Julia Programming	Dr. Sandeep Nagar	-	-	in process
39	Visual Storytelling with D3	Alok K. Shukla	-	-	in process
40	Geospatial data science and analysis using ArcGIS API for Python	Rohit Singh	-	-	in process