An introduction to statistical learning : with applications in R / Gareth James... [et al.].

Contributor(s): James, Gareth [author.] | Witten, Daniela [author.] | Hastie, Trevor [author.] | Tibshirani, Robert [author.]Material type: Text

TextLanguage: English Series: Publication details: New York : Springer, 2017. Description: xvi, 426 pages : illustrations (some color) ; 24 cmISBN: 9781461471370 ; 1461471370 (acidfree paper)Other title: Statistical learningSubject(s): Mathematical statistics | Mathematical models | Mathematical statistics -- Problems, exercises, etc | Mathematical models -- Problems, exercises, etc | R (Computer program language) | StatisticsDDC classification: 519.5 LOC classification: QA276 | .I585 2013Online resources: WorldCat Details | Ebook Fulltext

Contents:

TOC Introduction.- Statistical Learning.- Linear Regression.- Classification.- Resampling Methods.- Linear Model Selection and Regularization.- Moving Beyond Linearity.- Tree-Based Methods.- Support Vector Machines.- Unsupervised Learning.- Index.

Summary: This book presents key modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, and clustering.

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings ( 4 )
Title notes ( 5 )
Comments ( 0 )

Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Barcode
E-Book	EWU Library E-book	Non-fiction	519.5 INT 2017 (Browse shelf(Opens below))		Not for loan
Text	EWU Library Reserve Section	Non-fiction	519.5 INT 2017 (Browse shelf(Opens below))	C-1	Not For Loan	29852
Text	EWU Library Circulation Section	Non-fiction	519.5 INT 2017 (Browse shelf(Opens below))	C-2	Available	29853
Text	EWU Library Circulation Section	Non-fiction	519.5 INT 2017 (Browse shelf(Opens below))	C-3	Available	29854

Total holds: 0

Browsing EWU Library shelves, Shelving location: E-book Close shelf browser (Hides shelf browser)

Previous								Next
Previous	519.5 DOI 2008 An introduction to generalized linear models /	519.5 HOF 2009 A first course in Bayesian statistical methods /	519.5 HOI 2005 Introduction to mathematical statistics /	519.5 INT 2017 An introduction to statistical learning :	519.5 JIL 2007 Linear and generalized linear mixed models and their applications /	519.5 KAS 2002 The statistical analysis of failure time data /	519.5 KOS 2009 Statistical analysis of network data :	Next

Includes index.

This book presents key modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, and clustering.

CSE CSE

Sagar Shahanawaz

There are no comments on this title.

to post a comment.