The Nature of Statistical Learning Theory (Information Science and Statistics)

Machine Learning Refined: Foundations, Algorithms, and Applications

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

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

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

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

Introduction to Algorithms, 3rd Edition (The MIT Press)

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

Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies (The MIT Press)

Pattern Recognition and Machine Learning (Information Science and Statistics)