An Introduction to Statistical Learning

DOI10.1007/978-3-031-38747-0OpenAlexW4382677476MaRDI QIDQ6113385

Trevor Hastie, Daniela M. Witten, Gareth M. James, Jonathan E. Taylor, Robert Tibshirani

Publication date: 9 August 2023

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

Full work available at URL: https://doi.org/10.1007/978-3-031-38747-0

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

Factor analysis and principal components; correspondence analysis (62H25) Software, source code, etc. for problems pertaining to statistics (62-04) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Generalized linear models (logistic models) (62J12) Introductory exposition (textbooks, tutorial papers, etc.) pertaining to statistics (62-01) Learning and adaptive systems in artificial intelligence (68T05) Statistical aspects of big data and data science (62R07)