Understanding Machine Learning: From Theory to Algorithms

Deep Learning (Adaptive Computation and Machine Learning series)

The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)

Pattern Recognition and Machine Learning (Information Science and Statistics)

Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series)

Foundations of Machine Learning (Adaptive Computation and Machine Learning series)

Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning series)

Convex Optimization

The Hundred-Page Machine Learning Book

High-Dimensional Statistics: A Non-Asymptotic Viewpoint (Cambridge Series in Statistical and Probabilistic Mathematics)

High-Dimensional Probability: An Introduction with Applications in Data Science (Cambridge Series in Statistical and Probabilistic Mathematics)