THE ELEMENTS OF STATISTICAL LEARNING: DATA MINING, INFERENCE, AND PREDICTION
Written by Trevor Hastie, Robert J. Tibshirani, Jerome Friedman
Published by Springer
in 2001
ISBN: 0387952845
- Categorised in:
- MATHS
- SCIENCE AND TECHNOLOGY
- STATISTICS
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Front cover
Contents
- Preface
- 1 Introduction
- 2 Overview of Supervised Learning
- 3 Linear Methods for Regression
- 4 Linear Methods for Classification
- 5 Basis Expansions and Regularization
- 6 Kernel Methods
- 7 Model Assessment and Selection
- 8 Model Inference and Averaging
- 9 Additive Models, Trees and Related Methods
- 10 Boosting and Additive Trees
- 11 Neural Networks
- 12 Support Vector Machines and Flexible Discriminants
- 13 Prototype Methods and Nearest-Neighbours
- 14 Unsupervised Learning
- References
- Author Index
- Index