Machine Learning Approaches in Financial Analytics: 254 - Rilegato

 
9783031610363: Machine Learning Approaches in Financial Analytics: 254
Rilegato
ISBN 10: 3031610369 ISBN 13: 9783031610363
Casa editrice: Springer-Nature New York Inc, 2024

Sinossi

This book addresses the growing need for a comprehensive guide to the application of machine learning in financial analytics. It offers a valuable resource for both beginners and experienced professionals in finance and data science by covering the theoretical foundations, practical implementations, ethical considerations, and future trends in the field. It bridges the gap between theory and practice, providing readers with the tools and knowledge they need to leverage the power of machine learning in the financial sector responsibly.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Dalla quarta di copertina

This book addresses the growing need for a comprehensive guide to the application of machine learning in financial analytics. It offers a valuable resource for both beginners and experienced professionals in finance and data science by covering the theoretical foundations, practical implementations, ethical considerations, and future trends in the field. It bridges the gap between theory and practice, providing readers with the tools and knowledge they need to leverage the power of machine learning in the financial sector responsibly.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Springer-Nature New York Inc
Data di pubblicazione
2024
Lingua
Inglese
ISBN 10 
3031610369
ISBN 13 
9783031610363
Rilegatura
Copertina rigida
Numero di pagine
504
Redattore
Maglaras Leandros A., Das Sonali, Tripathy Naliniprava, Patnaik Srikanta
Contatto del produttore
Springer Nature Customer Service Center GmbH
ProductSafety@springernature.com

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