The Mathematics of Data (IAS/Park City Mathematics) (IAS/PARK CITY Mathematics, 25) 🔍
Mahoney, Michael W.; Institute for Advanced Study (Princeton, N.J.); Society for Industrial and Applied Mathematics; Duchi, John; Gilbert, Anna C.; Park City Mathematics Institute
[Providence, Rhode Island]: American Mathematical Society, American Mathematical Society, [Providence, Rhode Island], 2018
English [en] · PDF · 20.0MB · 2018 · 📗 Book (unknown) · 🚀/ia · Save
description
"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."--Site web de l'éditeur
Alternative author
Mahoney, Michael W., editor; Duchi, John, editor; Gilbert, Anna C. (Anna Catherine), 1972- editor; Institute for Advanced Study (Princeton, N.J.); Society for Industrial and Applied Mathematics; Park City Mathematics Institute
Alternative author
John Duchi; Anna C Gilbert; Michael W Mahoney; Institute for Advanced Study (Princeton, N.J.); Park City Mathematics Institute; Society for Industrial and Applied Mathematics
Alternative author
Michael W Mahoney; John Duchi; Anna C Gilbert; Institute for Advanced Study (Princeton, N.J.); Society for Industrial and Applied Mathematics; American Mathematical Society
Alternative author
Michael W. Mahoney; Michael W. Mahoney; John Duchi; Anna C Gilbert
Alternative author
Michael W. Mahoney, John C. Duchi, Anna C. Gilbert
Alternative publisher
Education Development Center, Incorporated
Alternative edition
IAS/Park City mathematics series, Providence, Rhode Island, 2018
Alternative edition
IAS/Park City Mathematics series, volume 25, Providence, 2018
Alternative edition
United States, United States of America
Alternative edition
2018-11-15
Alternative description
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 provides an introduction to the mathematical methods that form the foundations of machine learning and data science.
Alternative description
xii, 325 pages : 27 cm
"Institute for Advanced Study."
"Society for Industrial and Applied Mathematics."
Based on a series of lectures held July 2016, at the Park City Mathematics Institute
Includes bibliographical references
"Institute for Advanced Study."
"Society for Industrial and Applied Mathematics."
Based on a series of lectures held July 2016, at the Park City Mathematics Institute
Includes bibliographical references
date open sourced
2024-07-01
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