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McGraw-Hill Professional Publishing
Applied Machine Learning / Edition 1

Applied Machine Learning / Edition 1

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Cutting-edge machine learning principles, practices, and applications
This comprehensive textbook explores the theoretical under¬pinnings 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

Product Details

ISBN-13: 9781260456844
Publisher: McGraw-Hill Professional Publishing
Publication date: 06/05/2019
Pages: 656
Sales rank: 1,198,952
Product dimensions: 8.10(w) x 10.10(h) x 1.50(d)

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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