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Book Categories |
Preface | ||
1 | Introduction | 1 |
2 | Overview of Supervised Learning | 9 |
3 | Linear Methods for Regression | 41 |
4 | Linear Methods for Classification | 79 |
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 |
References | 509 | |
Author Index | 523 | |
Index | 527 |
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