Algorithms in Machine Learning Paradigms
Download or Read eBook Algorithms in Machine Learning Paradigms PDF 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.
Author | : Jyotsna Kumar Mandal |
Publisher | : Springer Nature |
Total Pages | : 201 |
Release | : 2020-01-03 |
ISBN-10 | : 9789811510410 |
ISBN-13 | : 9811510415 |
Rating | : 4/5 (10 Downloads) |
Book Synopsis Algorithms in Machine Learning Paradigms by : Jyotsna Kumar Mandal
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.