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International Edition

Intl. Ed.

Applied Machine Learning

Intl. Ed.

Applied Machine Learning Paperback -

by M. Gopal

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***INTERNATIONAL EDITION*** Read carefully before purchase: This book is the international edition in mint condition with the different ISBN and book cover design, the major content is printed in full English as same as the original North American edition. The book printed in black and white, generally send in twenty-four hours after the order confirmed. All shipments contain tracking numbers. Great professional textbook selling experience and expedite shipping service.


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Details

  • Title Applied Machine Learning
  • Author M. Gopal
  • Binding Paperback
  • Condition New
  • Pages 656
  • Volumes 1
  • Language ENG
  • Publisher McGraw-Hill Education
  • Illustrated Yes
  • Bookseller's Inventory # MIG--427
  • ISBN 9781260456844 / 1260456846
  • Weight 3.29 lbs (1.49 kg)
  • Dimensions 10.3 x 8 x 1.52 in (26.16 x 20.32 x 3.86 cm)
  • Category Technology & Industrial Arts
  • Library of Congress subjects Machine learning, Mechanical engineering
  • Library of Congress Catalogue Number 2018966932
  • Dewey Decimal Code 006.31
  • Quantity available 50

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Reader reviews for Applied Machine Learning

From the publisher

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.
Cutting-edge machine learning principles, practices, and applications
This comprehensive textbook explores the theoretical underpinnings of learning and equips readers with the knowledge needed to apply powerful machine learning techniques to solve challenging real-world problems. Applied Machine Learning shows, step by step, how to conceptualize problems, accurately represent data, select and tune algorithms, interpret and analyze results, and make informed strategic decisions. Presented in a non-rigorous mathematical style, the book covers a broad array of machine learning topics with special emphasis on methods that have been profitably employed.
Coverage includes:
-Supervised learning-Statistical learning-Learning with support vector machines (SVM)-Learning with neural networks (NN)-Fuzzy inference systems-Data clustering-Data transformations-Decision tree learning-Business intelligence-Data mining-And much more

About the author

M. Gopal, is a former professor of IIT Delhi, is a globally known academician with excellent credentials as an author, teacher, and researcher. He is the author or co-author of five books on control engineering.
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