Machine Learning Approaches in Financial Analytics (2024) (Intelligent Systems Reference Library #254)
By: and and and
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- 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.
- Copyright:
- 2024
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9783031610370
- Related ISBNs:
- 9783031610363
- Publisher:
- Springer Nature Switzerland
- Date of Addition:
- 09/28/24
- Copyrighted By:
- The Editor
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet, Business and Finance, Technology, Mathematics and Statistics
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Leandros A. Maglaras
- Edited by:
- Sonali Das
- Edited by:
- Naliniprava Tripathy
- Edited by:
- Srikanta Patnaik
Reviews
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- by Leandros A. Maglaras
- by Sonali Das
- by Naliniprava Tripathy
- by Srikanta Patnaik
- in Nonfiction
- in Computers and Internet
- in Business and Finance
- in Technology
- in Mathematics and Statistics