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Knowledge Hub
Published on March 21, 2020
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)
Books:
- Deep Learning Book by Ian Goodfellow, Yoshua Bengio and Aaron Courville
- The Hundred-Page Machine Learning Book by Andriy Burkov
- Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow 2nd Edition
Videos:
ML systems design:
- Reliable Machine Learning: Applying SRE Principles to ML in Production by Google
- Rules of ML: Best Practices for ML Engineering by Martin Zinkevich
- Machine Learning: The High-Interest Credit Card of Technical Debt by Google
- The ML test score: A rubric for ML production readiness and technical debt reduction by Google