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An Introduction to Statistical Learning

Springer texts in statisticsPublished 1 January 2013
Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani
Citations11,662

TL;DR

This book presents some of the most important modeling and prediction techniques, along with relevant applications, that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years.

Abstract

This book provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets.

Keywords

Mathematics