Gopal M. Applied Machine Learning

McGraw-Hill Education, 2019. — 656 p. — ISBN: 978-1260456844, 1260456846.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
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.