An Introduction to Statistical Learning

DOI10.1007/978-1-0716-1418-1zbMath1469.62002OpenAlexW4235256446MaRDI QIDQ5858587

Robert Tibshirani, Gareth M. James, Daniela M. Witten, Trevor Hastie

Publication date: 13 April 2021

Published in: Springer Texts in Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-1-0716-1418-1

zbMATH Keywords

classificationclusteringprincipal component analysispolynomial regressionlogistic regressionunsupervised learningdecision treessupport vector machineslinear regressionresampling methodsrandom forestsbaggingboostingcross validationshrinkage methodsbootstrappinglinear discriminant analysisregression splinesdimension reduction methods

Mathematics Subject Classification ID

Introductory exposition (textbooks, tutorial papers, etc.) pertaining to statistics (62-01) Learning and adaptive systems in artificial intelligence (68T05) Statistical decision theory (62C99)

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Uses Software

• R
• ISLR