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Efficient Learning Machines: Theories, Concepts, and Applications for Engineers and System Designers
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  • Title: Efficient Learning Machines: Theories, Concepts, and Applications for Engineers and System Designers
  • Author(s) Mariette Awad, Rahul Khanna
  • Publisher: Apress OPEN; eBook (Creative Commons Licensed)
  • License(s): Creative Commons License (CC)
  • Hardcover/Paperback: 268 pages
  • eBook: PDF and ePub
  • Language: English
  • ISBN-10: 1430259892
  • ISBN-13: 978-1430259893 (Print) 978-1430259909 (Online)
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Book Description

Machine learning techniques provide cost-effective alternatives to traditional methods for extracting underlying relationships between information and data and for predicting future events by processing existing information to train models. This book explores the major topics of machine learning, including knowledge discovery, classifications, genetic algorithms, neural networking, kernel methods, and biologically-inspired techniques.

About the Authors
  • Rahul Khanna is a platform architect at Intel Corporation involved in development of energy-efficient algorithms.
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