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The Elements of Statistical Learning
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Author(s):
Trevor Hastie
,
Jerome Friedman
,
Robert Tibshirani
Publication date
(Print):
2001
Publisher:
Springer New York
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Trace Elements and Electrolytes
Author and book information
Book
ISBN (Print):
978-1-4899-0519-2
ISBN (Electronic):
978-0-387-21606-5
Publication date (Print):
2001
DOI:
10.1007/978-0-387-21606-5
SO-VID:
6b2204bc-1f48-44b5-b203-8fe5b31284fa
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Book chapters
pp. 1
Introduction
pp. 9
Overview of Supervised Learning
pp. 41
Linear Methods for Regression
pp. 79
Linear Methods for Classification
pp. 115
Basis Expansions and Regularization
pp. 165
Kernel Methods
pp. 193
Model Assessment and Selection
pp. 225
Model Inference and Averaging
pp. 257
Additive Models, Trees, and Related Methods
pp. 299
Boosting and Additive Trees
pp. 347
Neural Networks
pp. 371
Support Vector Machines and Flexible Discriminants
pp. 411
Prototype Methods and Nearest-Neighbors
pp. 437
Unsupervised Learning
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