Note: Supplemental materials are not guaranteed with Rental or Used book purchases.
Purchase Benefits
What is included with this book?
Prologue: a machine learning sampler | |
The ingredients of machine learning | |
Binary classification and related tasks | |
Beyond binary classification | |
Concept learning | |
Tree models | |
Rule models | |
Linear models | |
Distance-based models | |
Probabilistic models | |
Features | |
In brief: model ensembles | |
In brief: machine learning experiments | |
Epilogue: where to go from here | |
Important points to remember | |
Bibliography | |
Index | |
Table of Contents provided by Publisher. All Rights Reserved. |
The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.
The Used, Rental and eBook copies of this book are not guaranteed to include any supplemental materials. Typically, only the book itself is included. This is true even if the title states it includes any access cards, study guides, lab manuals, CDs, etc.