You might also like

More about Algorithms in Machine Learning Paradigms

• Book details
• Synopsis
• Trending among others

You get 549 loyalty points

Book synopsis

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.

Book details

Book category Knihy po anglicky Technology, engineering, agriculture Technology: general issues Maths for engineers

• Full title: Algorithms in Machine Learning Paradigms
• Author: Jyotsna Kumar Mandal, Somnath Mukhopadhyay, Paramartha Dutta, Kousik Dasgupta
• Language: English
• Binding: Hardback
• Number of pages: 195
• EAN: 9789811510403
• ID: 24710438
• Publisher: Springer Verlag, Singapore
• Weight: 483 g
• Dimensions: 235 × 155 × 17 mm
• Date of publishing: 04. January 2020

Trending among others

---

---

---