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. Thi...

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Huvudupphovsman: James, Gareth
Övriga upphovsmän: Witten, Daniela Tibshirani, Robert
Materialtyp: Bok
Språk:engelska
Publicerad: New York Springer 2021
Upplaga:2nd ed.
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Sammanfattning: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,
Fysisk beskrivning:607
ISBN:9781071614174