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Machine Learning Paradigms: Applications of Learning and Analytics in Intelligent Systems

Machine Learning Paradigms: Applications of Learning and Analytics in Intelligent Systems

Machine Learning Paradigms: Applications of Learning and Analytics in Intelligent Systems

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1st ed. 2019 Edition 

by George A. Tsihrintzis (Editor), Maria Virvou (Editor), Evangelos Sakkopoulos (Editor), Lakhmi C. Jain (Editor) 

This book is the inaugural volume in the new Springer series on Learning and Analytics in Intelligent Systems. The series aims at providing, in hard-copy and soft-copy form, books on all aspects of learning, analytics, advanced intelligent systems and related technologies. These disciplines are strongly related and mutually complementary; accordingly, the new series encourages an integrated approach to themes and topics in these disciplines, which will result in significant cross-fertilization, research advances and new knowledge creation. To maximize the dissemination of research findings, the series will publish edited books, monographs, handbooks, textbooks and conference proceedings. This book is intended for professors, researchers, scientists, engineers and students. An extensive list of references at the end of each chapter allows readers to probe further into those application areas that interest them most.

Year 2019
Pages 552
Language English
Format PDF
Size 15MB
ISBN-10 3030156273
ISBN-13 978-3030156275
ASIN B07TVZW1KS