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Principles and Theory for Data Mining and Machine Learning, Hardback Book

Principles and Theory for Data Mining and Machine Learning Hardback

Part of the Springer Series in Statistics series

Description

Extensive treatment of the most up-to-date topicsProvides the theory and concepts behind popular and emerging methodsRange of topics drawn from Statistics, Computer Science, and Electrical Engineering

Information

  • Format: Hardback
  • Pages: 786 pages, XII, 786 p.
  • Publisher: Springer-Verlag New York Inc.
  • Publication Date:
  • Category: Artificial intelligence
  • ISBN: 9780387981345

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