Machine Learning Approaches in Financial Analytics

Machine Learning Approaches in Financial Analytics

Leandros A. Maglaras, Sonali Das, Naliniprava Tripathy, Srikanta Patnaik, (eds.)
0 / 5.0
0 comments
你有多喜歡這本書?
文件的質量如何?
下載本書進行質量評估
下載文件的質量如何?
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.
體積:
254
年:
2024
版本:
2024
出版商:
Springer
語言:
english
頁數:
485
ISBN 10:
3031610377
ISBN 13:
9783031610370
系列:
Intelligence Systems Reference Library
文件:
PDF, 18.18 MB
IPFS:
CID , CID Blake2b
english, 2024
線上閱讀
轉換進行中
轉換為 失敗

最常見的術語