An Introduction to Statistical Learning: with Applications in R PDF
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The book consists of 10 Chapters in total of 426 Pages.
In this new book, we cover many of the same topics as ESL, but we concentrate more on the applications of the methods and less on the mathematical details. We have created labs illustrating how to implement each of the statistical learning methods using the popular statistical software package R. These labs provide the reader with valuable hands-on experience.
This book is appropriate for advanced undergraduates or master’s students in statistics or related quantitative fields or for individuals in other disciplines who wish to use statistical learning tools to analyze their data. It ca be used as a textbook for a course spanning one or two semesters. (An Introduction to Statistical Learning: with Applications in R; Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani; Springer [2017]; Preface: Pages vii, viii)
Category: Mathematics / Statistics
Language: English
Pages: 426
Type: True PDF
ISBN: 1461471370
ISBN-13: 9781461471370
Authors: Daniela Witten, Gareth James, Robert Tibshirani, Trevor Hastie
Release date: September 1, 2017