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An introduction to Statistical Learning: with application in R

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n 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, deep learning, survival analysis, multiple testing, and more.

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Series Title

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Call Number

6

Publisher

: ., 2013

Collation

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Language

English

ISBN/ISSN

9781071614181

Classification

NONE

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Edition

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Subject(s)

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