logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Machine Learning Approaches In Financial Analytics 2024th Edition Leandros A Maglaras Sonali Das Naliniprava Tripathy Srikanta Patnaik

  • SKU: BELL-59299020
Machine Learning Approaches In Financial Analytics 2024th Edition Leandros A Maglaras Sonali Das Naliniprava Tripathy Srikanta Patnaik
$ 31.00 $ 45.00 (-31%)

0.0

0 reviews

Machine Learning Approaches In Financial Analytics 2024th Edition Leandros A Maglaras Sonali Das Naliniprava Tripathy Srikanta Patnaik instant download after payment.

Publisher: Springer
File Extension: PDF
File size: 18.18 MB
Pages: 485
Author: Leandros A. Maglaras & Sonali Das & Naliniprava Tripathy & Srikanta Patnaik
ISBN: 9783031610363, 9783031610370, 3031610369, 3031610377
Language: English
Year: 2024
Edition: 2024
Volume: 254

Product desciption

Machine Learning Approaches In Financial Analytics 2024th Edition Leandros A Maglaras Sonali Das Naliniprava Tripathy Srikanta Patnaik by Leandros A. Maglaras & Sonali Das & Naliniprava Tripathy & Srikanta Patnaik 9783031610363, 9783031610370, 3031610369, 3031610377 instant download after payment.

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.

Related Products