## An Introduction to Statistical Learning: with Applications in RSpringer Science & Business Media, 24 de jun. de 2013 - 426 páginas
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. |

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#### LibraryThing Review

Comentário do usuário - 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 ... Ler resenha completa

### Conteúdo

1 | |

15 | |

3 Linear Regression | 59 |

4 Classification | 127 |

5 Resampling Methods | 174 |

6 Linear Model Selection and Regularization | 203 |

7 Moving Beyond Linearity | 265 |

8 TreeBased Methods | 302 |

9 Support Vector Machines | 337 |

10 Unsupervised Learning | 373 |

419 | |

### Outras edições - Visualizar todos

An Introduction to Statistical Learning: with Applications in R Gareth James,Daniela Witten,Trevor Hastie,Robert Tibshirani Não há visualização disponível - 2014 |

An Introduction to Statistical Learning: with Applications in R Gareth James,Daniela Witten,Trevor Hastie,Robert Tibshirani Não há visualização disponível - 2013 |