Algorithms in Machine Learning Paradigms

Algorithms in Machine Learning Paradigms
PDF, ePUB
  • eBook:
    Algorithms in Machine Learning Paradigms
  • Author:
    Jyotsna Kumar Mandal, Somnath Mukhopadhyay, Paramartha Dutta, Kousik Dasgupta
  • Edition:
    1st ed. 2020 edition
  • Categories:
  • Data:
    January 4, 2020
  • ISBN:
    9811510407
  • ISBN-13:
    9789811510403
  • Language:
    English
  • Pages:
    205 pages
  • Format:
    PDF, ePUB

Book Description
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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