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Applied Machine Learning 1st Edition

SKU: 9781260456851

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Additional information

Full Title

Applied Machine Learning 1st Edition

Author(s)

M. Gopal

Edition

1st Edition

ISBN

9781260456851, 9781260456844

Publisher

McGraw-Hill

Format

PDF and EPUB

Description

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