Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough - Latest Trends in AI (Hardcover, 1st ed. 2020)

This book discusses various machine learning & cognitive science approaches, presenting high-throughput research by experts in this area. Bringing together machine learning, cognitive science and other aspects of artificial intelligence to help provide a roadmap for future research on intelligent systems, the book is a valuable reference resource for students, researchers and industry practitioners wanting to keep abreast of recent developments in this dynamic, exciting and profitable research field. It is intended for postgraduate students, researchers, scholars and developers who are interested in machine learning and cognitive research, and is also suitable for senior undergraduate courses in related topics. Further, it is useful for practitioners dealing with advanced data processing, applied mathematicians, developers of software for agent-oriented systems and developers of embedded and real-time systems.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Studies in Computational Intelligence, 885
Release date:	February 2020
First published:	2020
Editors:	Vinit Kumar Gunjan • Jacek M. Zurada • Balasubramanian Raman • G. R. Gangadharan
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	245
Edition:	1st ed. 2020
ISBN-13:	978-3-03-038444-9
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
LSN:	3-03-038444-6
Barcode:	9783030384449

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