An Introduction to Support Vector Machines and Other Kernel-based Learning Methods

Kernel Methods for Pattern Analysis

Pattern Recognition and Machine Learning (Information Science and Statistics)

Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond (Adaptive Computation and Machine Learning)

An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)

Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

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

The Hundred-Page Machine Learning Book

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

Neural Networks and Deep Learning: A Textbook

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