Note: Supplemental materials are not guaranteed with Rental or Used book purchases.
What is included with this book?
|Overview of supervised learning|
|Linear methods for regression|
|Linear methods for classification|
|Basis expansions and regularization|
|Kernel smoothing methods|
|Model assessment and selection|
|Model inference and averaging|
|Additive models, trees, and related methods|
|Boosting and additive trees|
|Support vector machines and flexible discriminants|
|Prototype methods and nearest-neighbors|
|Table of Contents provided by Publisher. All Rights Reserved.|