An introduction to statistical learning : with applications in R / Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani
Material type: TextLanguage: English Series: Springer texts in statisticsPublication details: New York : Springer, c2013.Description: xiv, 426 p. ; 26 cmISBN:- 9781461471370
- 519.5 JAM/I
Item type | Current library | Home library | Collection | Call number | Status | Date due | Barcode | Item holds | |
---|---|---|---|---|---|---|---|---|---|
Technical Reference Book | Central Library, IIT Bhubaneswar | Central Library, IIT Bhubaneswar | SES | 519.5 JAM/I (Browse shelf(Opens below)) | Available | 9255 |
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519.5 HUB/R Robust statistics / | 519.5 HUF/H How to lie with statistics / | 519.5 IVE/S Statistics : | 519.5 JAM/I An introduction to statistical learning : with applications in R / | 519.5 JEN/S Statistics For Petroleum Engineers and Geoscientists / | 519.5 JEN/S Statistics For Petroleum Engineers and Geoscientists / | 519.5 KOL/P Probabilistic graphical models : principles and techniques / |
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.
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