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 Fashion Industry In The Big Data Era 1st Ed Sbastien Thomassey

  • SKU: BELL-7157056
Artificial Intelligence For Fashion Industry In The Big Data Era 1st Ed Sbastien Thomassey
$ 31.00 $ 45.00 (-31%)

5.0

38 reviews

Artificial Intelligence For Fashion Industry In The Big Data Era 1st Ed Sbastien Thomassey instant download after payment.

Publisher: Springer Singapore
File Extension: PDF
File size: 6.39 MB
Author: Sébastien Thomassey, Xianyi Zeng
ISBN: 9789811300790, 9789811300806, 9811300798, 9811300801
Language: English
Year: 2018
Edition: 1st ed.

Product desciption

Artificial Intelligence For Fashion Industry In The Big Data Era 1st Ed Sbastien Thomassey by Sébastien Thomassey, Xianyi Zeng 9789811300790, 9789811300806, 9811300798, 9811300801 instant download after payment.

This book provides an overview of current issues and challenges in the fashion industry and an update on data-driven artificial intelligence (AI) techniques and their potential implementation in response to those challenges. Each chapter starts off with an example of a data-driven AI technique on a particular sector of the fashion industry (design, manufacturing, supply or retailing), before moving on to illustrate its implementation in a real-world application

Related Products