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

Artificial Intelligence For Automated Pricing Based On Product Descriptions Nguyen Thi Ngoc Anh

  • SKU: BELL-46249556
Artificial Intelligence For Automated Pricing Based On Product Descriptions Nguyen Thi Ngoc Anh
$ 31.00 $ 45.00 (-31%)

5.0

88 reviews

Artificial Intelligence For Automated Pricing Based On Product Descriptions Nguyen Thi Ngoc Anh instant download after payment.

Publisher: Springer Nature
File Extension: PDF
File size: 2.09 MB
Pages: 53
Author: Nguyen Thi Ngoc Anh, Tran Ngoc Thang, Vijender Kumar Solanki
ISBN: 9789811647024, 9789811647017, 981164702X, 9811647011
Language: English
Year: 2021

Product desciption

Artificial Intelligence For Automated Pricing Based On Product Descriptions Nguyen Thi Ngoc Anh by Nguyen Thi Ngoc Anh, Tran Ngoc Thang, Vijender Kumar Solanki 9789811647024, 9789811647017, 981164702X, 9811647011 instant download after payment.

This book highlights artificial intelligence algorithms used in implementation of automated pricing. It presents the process for building automated pricing models from crawl data, preprocessed data to implement models, and their applications. The book also focuses on machine learning and deep learning methods for pricing, including from regression methods to hybrid and ensemble methods. The computational experiments are presented to illustrate the pricing processes and models.

Related Products