An Introduction to Statistical Learning

DOI10.1007/978-1-4614-7138-7zbMath1281.62147OpenAlexW2487770199WikidataQ21473973 ScholiaQ21473973MaRDI QIDQ4913719

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

Publication date: 8 April 2013

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

Full work available at URL: https://doi.org/10.1007/978-1-4614-7138-7

zbMATH Keywords

classification clustering principal component analysis polynomial regression logistic regression unsupervised learning decision trees support vector machines linear regression resampling methods random forests bagging boosting cross validation shrinkage methods bootstrapping linear discriminant analysis regression splines dimension 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)

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