Algorithms in Machine Learning Paradigms

Algorithms in Machine Learning Paradigms
Author :
Publisher : Springer Nature
Total Pages : 201
Release :
ISBN-10 : 9789811510410
ISBN-13 : 9811510415
Rating : 4/5 (10 Downloads)

Book Synopsis Algorithms in Machine Learning Paradigms by : Jyotsna Kumar Mandal

Download or read book Algorithms in Machine Learning Paradigms written by Jyotsna Kumar Mandal and published by Springer Nature. This book was released on 2020-01-03 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents studies involving algorithms in the machine learning paradigms. It discusses a variety of learning problems with diverse applications, including prediction, concept learning, explanation-based learning, case-based (exemplar-based) learning, statistical rule-based learning, feature extraction-based learning, optimization-based learning, quantum-inspired learning, multi-criteria-based learning and hybrid intelligence-based learning.


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