Readings
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Second Edition. Trevor Hastie, Robert Tibshirani, Jerome Friedman (link)
- Causal Inference: What If (the book). Miguel A. Hernán, James M. Robins (link)
- Reinforcement learning: an introduction, second edition. Richard S. Sutton and Andrew G. Barto (link)
- How to read a paper, S. Keshav (link)
- Writing Technical Articles, Henning Schulzrinne (link)
- Common Bugs in Writing (link)
- Elements of Style, Strunk and White (link1), link2)
- An Illustrated Book of Bad Arguments, Ali Almossawi (link)
- Fundamentals of Data Visualization (link)
You have reading suggestions?
I'll be thankful if you reach out to me with your suggestions. If you want to discuss the ideas in these books, you are encouraged to reach out as well. Happy reading!