PDF->An Introduction to Statistical Learning: With Applications in R Writen By Gareth James

An Introduction to Statistical Learning: With Applications in R

By : Gareth James

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Book Synopsis :

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

Book Detail :

Author : Gareth James

Pages : 426 pages

Publisher : Springer

Language : eng

ISBN-10 : 1461471370

ISBN-13 : 9781461471370

 

Supporting format: PDF, EPUB, Kindle, Audio, MOBI, HTML, RTF, TXT, etc.

Supporting : PC, Android, Apple, Ipad, Iphone, etc.

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