An Introduction to Statistical Learning with Applications in R

An Introduction to Statistical Learning with Applications in R

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

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Bibliographic Details
Main Authors: James, Gareth (Author), Witten, Daniela (Author), Hastie, Trevor (Author), Tibshirani, Robert (Author)
Format: Book
Language:English
Published: New York Springer 2021
Edition:Print Book, English, 2021
Series:Springer texts in statistics
Subjects:
Mathematical statistics > Problems, exercises, etc
Mathematical models > Problems, exercises, etc
R (Computer program language)
Online Access:Click Here to View Status and Holdings.
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Description
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
Item Description:Includes index
Physical Description:xv, 607 pages illustrations (some color) 24 cm
ISBN:9781071614174

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