Knowledge Hub
This post contains interesting links which were shared by my colleague.
Blogs & newsletters:
- Great interactive content blog
- Interesting blog written by some Stanford researchers
- Blog with extremely good quality content
- Collection of interesting blog posts
- Papers with code
- Old well known weekly newsletter about data science
- Andrew Ng weekly newsletter about data science
- ML subreddit
Courses:
- Stanford CSS221 Artificial Intelligence Principles and Techniques
- Stanford CS229 – ML 2019
- Stanford CS230 - Deep Learning 2018
- Impressive reddit post with a compilation of advance ML courses
- FastAI DL courses (by Jeremy Howard)
- DL specialization (by Andrew Ng)
- Deep RL nanodegree @ Udacity (freaking expensive but gold)
Youtube channels:
Technical books:
- Dive into Deep Learning
- Neural Networks tricks of the trade
- Mathematics for ML
- FastAI book
- Pattern Recognition and ML
- Deep Learning Book
- Introduction to Reinforcement Learning