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The Elements of Statistical Learning

  • Robert Tibshirani,
  • Trevor Hastie,
  • Jerome Friedman

4.33

3 ratings

Describes important statistical ideas in machine learning, data mining, and bioinformatics. Covers a broad range, from supervised learning (prediction), to unsupervised learning, including classification trees, neural networks, and support vector machines.

Genres

  • Supervised learning (Machine learning)
  • Database management
  • Artificial Intelligence (incl. Robotics)
  • Statistics
  • Artificial intelligence
  • Biology
  • Data processing
  • Computer science
  • Mathematical statistics
  • Computer Appl. in Life Sciences
  • Probability and Statistics in Computer Science
  • Statistical Theory and Methods
  • Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
  • Computational biology--methods
  • Statistics as topic--methods
  • Data interpretation, statistical
  • Q325.75 .h37 2001
  • 006.3/1
  • Computational Biology
  • Methods
  • Statistics as Topic
  • Statistical Data Interpretation
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About the authors

  • Robert Tibshirani

    4.33

    3 ratings · 21 works

  • Trevor Hastie

    4.33

    3 ratings · 16 works

  • Jerome Friedman

    4.33

    3 ratings · 11 works

Editions

  • Edition cover

    Springer

    July 30, 2003

  • Edition cover

    Springer

    2001

  • Edition cover

    Springer

    Nov 01, 2008

  • Edition cover

    Springer London, Limited

    2013

Edition cover

Springer

2001

  • Edition cover

    Springer

    2008