textbook reading list

Kevin Murphy's model-based approach to machine learning (with pseudocode): Machine Learning, a Probabilistic Perspective https://geni.us/5h7oHK

O'Reilly's Hands-On Machine Learning, which introduces users to critical tools and frameworks like Keras, Scikit-Learn, and Tensorflow: https://geni.us/DkXs

Shalev-Schwartz and Ben-David, Understanding Machine Learning: A math-intensive introduction to theories and algorithms, and topics like convexity: https://geni.us/q7xFj