List of all the ML courses taken so far.
Books recommended by DeepMind folks
- CLRS and Essential algorithms by Stephens (in Google Drive)
- Numerical Recipes : Press, Tuelosky, Vetterling, Flannery
- xUnit Test patterns
- Refactoring improving the design of exisiting code : fowler
- Distributed system : concepts and design
- Designing data intensive applications
- Introduction to Machine Learning : Ethem
- Intro to RL : barto and sutton