Machine Learning Paradigms: Theory and Application / Studies in Computational Intelligence Bd.801 (PDF)
(Sprache: Englisch)
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...
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Produktinformationen zu „Machine Learning Paradigms: Theory and Application / Studies in Computational Intelligence Bd.801 (PDF)“
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.
Autoren-Porträt
Bibliographische Angaben
- 2018, 1st ed. 2019, 474 Seiten, Englisch
- Herausgegeben: Aboul Ella Hassanien
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3030023575
- ISBN-13: 9783030023577
- Erscheinungsdatum: 08.12.2018
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 20 MB
- Ohne Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
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