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An Introduction to Statistical Learning Hardcover by Gareth James In English

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Item specifics

Condition
New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
Country/Region of Manufacture
India
MPN
Does Not Apply
ISBN
9781461471370
Publication Year
2017
Type
Textbook
Format
Hardcover
Language
English
Publication Name
An Introduction to Statistical Learning: with Applications in R
Item Height
235mm
Author
Robert Tibshirani, Gareth James, Daniela Witten, Trevor Hastie
Publisher
Springer-Verlag New York Inc.
Item Width
155mm
Subject
Computer Science, Mathematics
Item Weight
1014g
Number of Pages
426 Pages

About this product

Product Information

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. 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. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

Product Identifiers

Publisher
Springer-Verlag New York Inc.
ISBN-13
9781461471370
eBay Product ID (ePID)
152310611

Product Key Features

Author
Robert Tibshirani, Gareth James, Daniela Witten, Trevor Hastie
Publication Name
An Introduction to Statistical Learning: with Applications in R
Format
Hardcover
Language
English
Subject
Computer Science, Mathematics
Publication Year
2017
Type
Textbook
Number of Pages
426 Pages

Dimensions

Item Height
235mm
Item Width
155mm
Item Weight
1014g

Additional Product Features

Title_Author
Robert Tibshirani, Daniela Witten, Trevor Hastie, Gareth James
Series Title
Springer Texts in Statistics
Country/Region of Manufacture
United States

Item description from the seller