Lectures on Convex Optimization (Springer Optimization and Its Applications, 137)

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

Linear Algebra and Learning from Data

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

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

Neural Networks and Deep Learning: A Textbook

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

Numerical Optimization (Springer Series in Operations Research and Financial Engineering)

Introduction to Applied Linear Algebra: Vectors, Matrices, and Least Squares

Convex Optimization, With Corrections 2008

Deep Learning (Adaptive Computation and Machine Learning series)