Machine Learning Approaches in Financial Analytics (Intelligent Systems Reference Library, 254)
by 作者: Leandros A. Maglaras (Editor), Sonali Das (Editor), Naliniprava Tripathy (Editor), Srikanta Patnaik (Editor)
Publisher Finelybook 出版社: Springer
Edition 版本: 2024th
Publication Date 出版日期: 2024-08-28
Language 语言: English
Pages 页数: 503 pages
ISBN-10 书号: 3031610369
ISBN-13 书号: 9783031610363
Book Description
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.
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.
