Machine Learning Approaches in Financial Analytics (Intelligent Systems Reference Library, 254, Band 254) - Hardcover

 
9783031610363: Machine Learning Approaches in Financial Analytics (Intelligent Systems Reference Library, 254, Band 254)
Hardcover
ISBN 10: 3031610369 ISBN 13: 9783031610363
Verlag: Springer, 2024

Inhaltsangabe

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.

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Von der hinteren Coverseite

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.

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Verlag
Springer
Erscheinungsdatum
2024
Sprache
Englisch
ISBN 10 
3031610369
ISBN 13 
9783031610363
Einband
Gebundene Ausgabe
Anzahl der Seiten
503
Herausgeber
Maglaras Leandros A., Das Sonali, Tripathy Naliniprava, Patnaik Srikanta
Kontakt zum Hersteller
Springer Nature Customer Service Center GmbH
ProductSafety@springernature.com

Europaplatz 3
Heidelberg
69115
Deutschland