## An Introduction to Statistical Learning: with Applications in R
Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. |

### What people are saying - Write a review

#### LibraryThing Review

User Review - Mohammedkb - LibraryThingI was lucky to attend a MOOC course delivered by the authors of this book- Trevor Hastie and Robert Tibshirani, which was offered by Stanford University. The book presents a balanced amount of theory ... Read full review

I first started to study econometrics in 1977, when it was all about Statistical Inference. Henri Theil's textbook defined the gold standard in econometric studies at the time. Throughout my career, I have seen the sample sizes that I worked with grow from 30 to 300,000. In the world, of 300K samples the old rules simply do not apply. I am grateful to Gareth James and company for giving my a way forward in this new world.

### Contents

1 | |

15 | |

3 Linear Regression | 59 |

4 Classification | 127 |

5 Resampling Methods | 174 |

6 Linear Model Selection and Regularization | 203 |

### Other editions - View all

An Introduction to Statistical Learning: with Applications in R Gareth James,Daniela Witten,Trevor Hastie,Robert Tibshirani No preview available - 2014 |

An Introduction to Statistical Learning: with Applications in R Gareth James,Daniela Witten,Trevor Hastie,Robert Tibshirani No preview available - 2013 |