“This is certainly a timely book with large potential impact and appeal. … the book is therewith accessible to a broad scientific audience including undergraduate students. … Mathematical Foundations for Data Analysis provides a comprehensive exploration of the mathematics relevant to modern data science topics, with a target audience that is looking for an intuitive and accessible presentation rather than a deep dive into mathematical intricacies.” (Aretha L. Teckentrup, SIAM Review, Vol. 65 (1), March, 2023)“The book is fairly compact, but a lot of information is presented in those pages. … the book is pretty much self-contained, but prior knowledge of linear algebra and python programming would benefit anyone. The clear writing is backed in many instances by helpful illustrations. Color is used judiciously throughout the text to help differentiate between objects and highlight items of interest. … Phillips’ book is much more concise, but still discusses many different mathematical aspects of data science.” (David R. Gurney, MAA Reviews, September 5, 2021)
