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A comprehensive introduction to the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications

Produktbeschreibung
A comprehensive introduction to the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications
  • Produktdetails
  • Adaptive Computation and Machine Learning series
  • Verlag: Bradford Books / MIT Press
  • 2. Aufl. 2018
  • Seitenzahl: 552
  • Erscheinungstermin: 13. November 2018
  • Englisch
  • Abmessung: 236mm x 184mm x 40mm
  • Gewicht: 1192g
  • ISBN-13: 9780262039246
  • ISBN-10: 0262039249
  • Artikelnr.: 52407874
Autorenporträt
Richard S. Sutton is Professor of Computing Science and AITF Chair in Reinforcement Learning and Artificial Intelligence at the University of Alberta, and also Distinguished Research Scientist at DeepMind.

Andrew G. Barto is Professor Emeritus in the College of Computer and Information Sciences at the University of Massachusetts Amherst.
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