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

Novel Financial Applications Of Machine Learning And Deep Learning Algorithms Product Modelling And Applications Mohammad Zoynul Abedin

  • SKU: BELL-48060318
Novel Financial Applications Of Machine Learning And Deep Learning Algorithms Product Modelling And Applications Mohammad Zoynul Abedin
$ 31.00 $ 45.00 (-31%)

5.0

70 reviews

Novel Financial Applications Of Machine Learning And Deep Learning Algorithms Product Modelling And Applications Mohammad Zoynul Abedin instant download after payment.

Publisher: Springer
File Extension: PDF
File size: 6.23 MB
Author: Mohammad Zoynul Abedin, Petr Hajek, (eds.)
ISBN: 9783031185526, 9783031185519, 303118551X, 3031185528
Language: English
Year: 2023
Volume: 336

Product desciption

Novel Financial Applications Of Machine Learning And Deep Learning Algorithms Product Modelling And Applications Mohammad Zoynul Abedin by Mohammad Zoynul Abedin, Petr Hajek, (eds.) 9783031185526, 9783031185519, 303118551X, 3031185528 instant download after payment.

The Novel Financial Applications of Machine Learning and Deep Learning: Algorithms, Product Modelling, and Applications presents the state of the art of the application of machine learning (ML) and deep learning (DL) in the domain of finance.

We will present a combination of empirical evidence to diverse fields of finance so that this book is useful to academics, practitioners, and policymakers who are looking to train novel and the most advanced machine learning classifiers.

Thus, the purpose of this book is to provide a broad area of applications to different financial assets and markets. Furthermore, from an extensive literature assessment, it is evident that there are no existing textbooks that narrate ML and DL to unlike areas of finance or to an extensive range of products and markets.

Related Products