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Viser: The Elements of Statistical Learning - Data Mining, Inference, and Prediction
The Elements of Statistical Learning
Data Mining, Inference, and Prediction
Jerome Friedman, Trevor Hastie og Robert Tibshirani
(2003)
Springer London, Limited
744,00 kr.
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Denne bog er blevet erstattet af The Elements of Statistical Learning - Data Mining, Inference, and Prediction, 2. udgave
Detaljer om varen
- Hardback: 552 sider
- Udgiver: Springer London, Limited (September 2003)
- Forfattere: Jerome Friedman, Trevor Hastie og Robert Tibshirani
- ISBN: 9780387952840
This book describes the important ideas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry.
Introduction
* Overview of Supervised Larnings * Linear Methods for Regression * Linear Methods for Classification * Basic Expansions and Regularization * Kernel Methods * Model Assessment and Selection * Model Inference and Averaging * Additive Models, Trees, and Related Methods * Boosting and Additive Trees * Neural Networks * Support Vector Machines and Flexible Discriminants * Prototype Methods and Nearest Neighbors * Unsupervised Learning
* Overview of Supervised Larnings * Linear Methods for Regression * Linear Methods for Classification * Basic Expansions and Regularization * Kernel Methods * Model Assessment and Selection * Model Inference and Averaging * Additive Models, Trees, and Related Methods * Boosting and Additive Trees * Neural Networks * Support Vector Machines and Flexible Discriminants * Prototype Methods and Nearest Neighbors * Unsupervised Learning
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