High-Dimensional Data Analysis with Low-Dimensional Models

A systematic introduction to the theory, algorithms, and applications of key mathematical models for data science. Covering applications including imaging, communication, and face recognition, with online code, it is ideal for senior/graduate students in computer science, electrical engineering, and data science. With foreword by Emmanuel Candes.