An introduction to statistical learning : with applications in R / Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani

By:

James, Gareth [author]

Contributor(s):

Material type: Text

TextLanguage: English Series: Springer texts in statisticsPublication details: New York : Springer, c2013.Description: xiv, 426 p. ; 26 cmISBN:

9781461471370

Subject(s):

Mathematical statistics. Statistics as Topic. R (Computer program language)

DDC classification:

519.5 JAM/I

Summary: 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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Holdings
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))	Checked out	17/05/2024	9255

Total holds: 0

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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