Mathematical Foundations for Data Analysis by Jeff M Phillips

Mathematical Foundations for Data Analysis by Jeff M Phillips

This textbook, suitable for an early undergraduate up to a graduate course, provides an overview of many basic principles and techniques needed for modern data analysis.

“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)

Jeff M. Phillips is an Associate Professor in the School of Computing within the University of Utah.  He directs the Utah Center for Data Science as well as the Data Science curriculum within the School of Computing.  His research is on algorithms for big data analytics, a domain with spans machine learning, computational geometry, data mining, algorithms, and databases, and his work regularly appears in top venues in each of these fields.  He focuses on a geometric interpretation of problems, striving for simple, geometric, and intuitive techniques with provable guarantees and solve important challenges in data science.  His research is supported by numerous NSF awards including an NSF Career Award.

SKU	Unavailable
ISBN 13	9783030623401
ISBN 10	3030623408
Title	Mathematical Foundations for Data Analysis
Author	Jeff M Phillips
Series	Springer Series In The Data Sciences
Condition	Unavailable
Binding Type	Hardback
Publisher	Springer Nature Switzerland AG
Year published	2021-03-30
Number of pages	287
Cover note	Book picture is for illustrative purposes only, actual binding, cover or edition may vary.