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

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

ISBN 10: 3030156303 / ISBN 13: 9783030156305

Published by Springer Nature, 2020

About this Item

570 pages. 9.25x6.10x1.26 inches. In Stock.

Seller Inventory # x-3030156303

Bibliographic Details

• Title: Machine Learning Paradigms: Applications of Learning and Analytics in Intelligent Systems
• Publisher: Springer Nature
• Publication Date: 2020
• Language: English
• ISBN 10: 3030156303
• ISBN 13: 9783030156305
• Binding: Paperback
• Condition: Brand New
• Weight: 0.79 kilograms

About this title

Synopsis

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.