A diverse selection of data science topics explored through a mathematical lens.

This text provides deep and comprehensive coverage of the mathematical background for data science, including machine learning, optimal recovery, compressed sen

This book describes current problems in data science and Big Data. Key topics are data classification, Graph Cut, the Laplacian Matrix, Google Page Rank, effici

This textbook provides a solid mathematical basis for understanding popular data science algorithms for clustering and classification and shows that an in-depth

Focuses on mathematical understanding Presentation is self-contained, accessible, and comprehensive Full color throughout Extensive list of exercises and worked