Useful

Books

Here are some books that have helped me and I refer to often (links attached) some of these might be very useful to you as well (the order in which books are named is irrelevant):

  1. Probability and Statistics with Examples using R by Athreya, Tanner, Sarkar
  2. Introduction to Statistical Learning in R/Python by Hastie, Tibshirani, James, Witten, Taylor
  3. The Elements of Statistical Learning by Hastie, Tibshirani
  4. Advanced Data Analysis by Cosma Rohilla Shalizi
  5. Books by Charu Aggarwal, namely:
    • Data Mining
    • Neural Networks and Deep Learning
    • Recommender Systems
  6. Deep Learning with Python by Francois Chollet, Did you know Chollet is creator of Keras and founder of ARC Prize and Ndea? Google it up.
  7. Reinforcement Learning: An Introduction by Richard S. Sutton and Andrew G. Barto, they won Turing Award :).
  8. Introdution to Information Retrieval by Manning, Raghavan, Schütze
  9. Mining of Massive Datasets by Leskovec, Ullman, Rajaraman
  10. Data Mining Concepts and Techniques by Jiawei Han, Micheline Kamber and Jian Pei : I had 3rd edition of this, and I liked the section on Clustering and Outlier detection.
  11. Understanding Deep Learning by Simon J.D. Prince
  12. Patterns, Predictions and Actions by Moritz Hardt and Benjamin Recht
  13. Database System Concepts by Silberschatz, Korth, Sudarshan
Note

I have not read them cover to cover, just some topics or when in need while doing courses in my university or some self-learning. List also includes books that I’ve marked to-do.

My notes

I will add my notes here soon.