The Mathematics of Data

TitleThe Mathematics of Data
Publication TypeBook
Year of Publication2018
AuthorsMahoney, M. W., Duchi J. C., & Gilbert A. C.
Volume25
PublisherAMS, IAS/Park City Mathematics Institute, and Society for Industrial and Applied Mathematics
ISBN978-1-4704-3575-2
Abstract

A co-publication of the AMS, IAS/Park City Mathematics Institute, and Society for Industrial and Applied Mathematics

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.

This book can be used both as a text for advanced undergraduate and beginning graduate courses, and as a survey for researchers interested in understanding how applied mathematics broadly defined is being used in data science. It will appeal to anyone interested in the interdisciplinary foundations of machine learning and data science.

URLhttps://bookstore.ams.org/pcms-25/