An Introduction to Statistical Learning

ISBN-10: 1979811040
ISBN-13: 9781979811040
Series: An Introduction to Statistical Learning
Pages: 422
Language: English
Published: 2017-07-04
Publisher: Createspace Independent Publishing Platform
Author: Peter Forrest

Description

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. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform.