Machine Learning Paradigms: Theory and Application

Author:   Aboul Ella Hassanien
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2019
Volume:   801
ISBN:  

9783030023560


Pages:   474
Publication Date:   21 December 2018
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Machine Learning Paradigms: Theory and Application


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Overview

The book focuses on machine learning. Divided into three parts, the first part discusses the feature selection problem. The second part then describes the application of machine learning in the classification problem, while the third part presents an overview of real-world applications of swarm-based optimization algorithms. The concept of machine learning (ML) is not new in the field of computing. However, due to the ever-changing nature of requirements in today’s world it has emerged in the form of completely new avatars. Now everyone is talking about ML-based solution strategies for a given problem set. The book includes research articles and expository papers on the theory and algorithms of machine learning and bio-inspiring optimization, as well as papers on numerical experiments and real-world applications.

Full Product Details

Author:   Aboul Ella Hassanien
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2019
Volume:   801
Weight:   0.887kg
ISBN:  

9783030023560


ISBN 10:   3030023567
Pages:   474
Publication Date:   21 December 2018
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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