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Название: An Introduction to Statistical Learning: with Applications in R
Автор: Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani
Издательство: Springer
Год: 2015
Страниц: 426
Формат: PDF
Размер: 10 Mb
Язык: English
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, shrinkage approaches, tree-based methods, support vector machines, clustering, and more.