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Machine learning a guide to current research by

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Published by Kluwer Academic Publishers in Boston .
Written in English


  • Machine learning.,
  • Artificial intelligence.

Book details:

Edition Notes

Statementedited by Tom M. Mitchell, Jaime G. Carbonell, Ryszard S. Michalski.
SeriesThe Kluwer international series in engineering and computer science ;, SECS 12
ContributionsMitchell, Tom M., 1951-, Carbonell, Jaime G., Michalski, Ryszard Stanislaw, 1937-
LC ClassificationsQ325 .M318 1986
The Physical Object
Paginationxiv, 429 p. :
Number of Pages429
ID Numbers
Open LibraryOL2710095M
ISBN 100898382149
LC Control Number86002766

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Packt is the online library and learning platform for professional developers. Learn Python, JavaScript, Angular and more with eBooks, videos and courses Packt | Programming Books, eBooks & . Understanding Machine Learning: From Theory to Algorithms By Shai Shalev-Shwartz and Shai Ben-David. Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. Understanding Machine Learning. Authors: Shai Shalev-Shwartz and Shai Ben-David. This book gives a structured introduction to machine learning. It looks at the fundamental theories of machine learning and the mathematical derivations that transform these concepts into practical algorithms. Jan 08,  · Machine learning focuses on the development of computer programs that can access data and use it learn for themselves. Here I can suggest you the Best Machine learning Books. Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems 1st Edition by Aurélien Géron.