The elements of statistical learning

The elements of statistical learning: data mining, inference, and prediction

by Hastie, Trevor J.

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Title Statements

  • Full title :The elements of statistical learning : data mining, inference, and prediction / Trevor Hastie, Robert Tibshirani, Jerome Friedman.

Edition Statements

  • Publication Date:©2001.

Publication Statements

  • Publisher(s):Springer
  • Place of Publication:New York
  • Language:eng
  • Publication Date:©2001.

The Physical Object

  • Description:xvi, 533 p. : : il. ; : 25 cm.

Edition Identifiers

  • ISBN:0387952845, 9780387952840
  • oclc:ocn318411631
  • Dewey Decimal:006.31

Table of Contents

Contenido: Overview of supervised learning. -- 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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Subjects

Análisis multivariante Apprentissage supervisé (Intelligence a… Aprendizaje automático (Inteligencia ar… Aprendizaje supervisado (Aprendizaje au… Estadística matemàtica Estadística matemática -- Enseñanza Inteligencia artificial Supervised learning (Machine learning)

Writers

Hastie, Trevor J. Friedman, Jerome H. Tibshirani, Robert J.

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