An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)

James, Gareth; Witten, Daniela; Hastie, Trevor; Tibshirani, Robert

ISBN 10: 1071614207 / ISBN 13: 9781071614204

Published by Springer, 2022

About this Item

This item is in overall good condition. Covers and dust jackets are intact but may have minor wear including slight curls or bends to corners as well as cosmetic blemishes including stickers. Pages are intact but may have minor highlighting/ writing. Binding is intact; however, spine may have slight wear overall. Digital codes may not be included and have not been tested to be redeemable and/or active. Minor shelf wear overall. Please note that all items are donated goods and are in used condition. Orders shipped Monday through Friday! Your purchase helps put people to work and learn life skills to reach their full potential. Orders shipped Monday through Friday. Your purchase helps put people to work and learn life skills to reach their full potential. Thank you! Seller Inventory # 466QI00012IZ

Bibliographic Details

Title: An Introduction to Statistical Learning: ...

Publisher: Springer

Publication Date: 2022

Binding: Soft cover

Condition: Good

Edition: 2nd Edition

About this title

Synopsis:

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods,...

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