Mathematics of Data
- USA : American Mathematical Society, 2018
- xii, 325 p. : ill. ; 26 cm.
- IAS/Park City mathematics series ; v. 25 .
Includes bibliographical references.
Data science is a highly interdisciplinary field, incorporating ideas from applied mathematics, statistics, probability, and computer science, as well as many other areas. This book gives an introduction to the mathematical methods that form the foundations of machine learning and data science, presented by leading experts in computer science, statistics, and applied mathematics. Although the chapters can be read independently, they are designed to be read together as they lay out algorithmic, statistical, and numerical approaches in diverse but complementary ways.
9781470435752 (hbk)
Big data Mathematics Mathematics teachers Linear and multilinear algebra Matrix theory Research exposition Convex and discrete geometry Probability theory Stochastic processes Statistics Numerical analysis Computer science Operations research Mathematical programming