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• Theelementsofstatisticallearning-NEW.djvu

书名：The Elements of Statistical Learning—Data Ming, Inference, and Prediction

作者：Trevor Hastie, Robert Tibshirani and Jerome Friedman

出版社：Springer，

文件格式：DJVU （使用WinDjView打开）

文件大小：3.91MB

简要目录：

Preface

1 Introduction………. 1

2 Overview of Supervised Learning……………. 9

3   Linear Methods for Regression 41

5  Basis Expansions and Regularization 115

6  Kernel Methods 165

7  Model Assessment and Selection 193

8  Model Inference and Averaging 225

9  Additive Models, Trees, and Related Methods 257

10  Boosting and Additive Trees 299

11  Neural Networks 347

12  Support Vector Machines and Flexible Discriminants 371

13  Prototype Methods and Nearest-Neighbors 411

14  Unsupervised Learning 437

Bibliographic Notes ......................... 503

Exercises ............................... 504

References 509

Author Index 523

Index 527

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