Sparse and Redundant Representations: From Theory to Applications in Signal and Image Processing

Linear Algebra and Learning from Data

A Mathematical Introduction to Compressive Sensing (Applied and Numerical Harmonic Analysis)

Sparse Modeling: Theory, Algorithms, and Applications (Chapman & Hall/Crc Machine Learning & Pattern Recognition)

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

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

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

Neural Networks and Deep Learning: A Textbook

Convex Optimization, With Corrections 2008

The Deep Learning Revolution (The MIT Press)

Deep Learning (Adaptive Computation and Machine Learning series)