An Introduction to Statistical Learning

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  An Introduction to Statistical Learning: With Applications in R

  By Daniela Witten, Trevor Hastie, Robert Tibshirani

  Springer Texts in Statistics Series Editors G. Allen, Department of Statistics, Houston, TX, USA R. De Veaux, Department of Mathematics and Statistics, Williams College, Williamstown, MA, USA R. Nugent, Department of Statistics, ...

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  An Introduction to Statistical Learning: with Applications in R

  By Daniela Witten, Trevor Hastie, Robert Tibshirani

  This book presents some of the most important modeling and prediction techniques, along with relevant applications.

• 

  An Introduction to Statistical Learning: with Applications in R

  By Daniela Witten, Trevor Hastie, Robert Tibshirani

  This book presents some of the most important modeling and prediction techniques, along with relevant applications.

• 

  An Introduction to Statistical Learning: with Applications in R

  By Daniela Witten, Trevor Hastie, Robert Tibshirani

  This book presents some of the most important modeling and prediction techniques, along with relevant applications.

• 

  An Introduction to Statistical Learning: With Applications in Python

  By Jonathan Taylor, Daniela Witten, Trevor Hastie

  This book presents some of the most important modeling and prediction techniques, along with relevant applications.

• 

  An Introduction to Statistical Learning: with Applications in Python

  By Jonathan Taylor, Daniela Witten, Trevor Hastie

  This book presents some of the most important modeling and prediction techniques, along with relevant applications.

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  An Introduction to Statistical Learning

  By Peter Forrest

  This book presents some of the most important modeling and prediction techniques, along with relevant applications.