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

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

Synopsis

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.

"synopsis" may belong to another edition of this title.

From the Back Cover

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.

"About this title" may belong to another edition of this title.

Publisher
Springer
Publication date
2024
Language
English
ISBN 10 
3031610369
ISBN 13 
9783031610363
Binding
Hardcover
Number of pages
503
Editor
Maglaras Leandros A., Das Sonali, Tripathy Naliniprava, Patnaik Srikanta