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

Deep Learning Innovations And Their Convergence With Big Data 1st Edition S Karthik

  • SKU: BELL-6871520
Deep Learning Innovations And Their Convergence With Big Data 1st Edition S Karthik
$ 31.00 $ 45.00 (-31%)

0.0

0 reviews

Deep Learning Innovations And Their Convergence With Big Data 1st Edition S Karthik instant download after payment.

Publisher: IGI Global
File Extension: PDF
File size: 8.3 MB
Pages: 265
Author: S. Karthik, S. Karthik, Anand Paul, N. Karthikeyan
ISBN: 9781522530152, 1522530150
Language: English
Year: 2017
Edition: 1

Product desciption

Deep Learning Innovations And Their Convergence With Big Data 1st Edition S Karthik by S. Karthik, S. Karthik, Anand Paul, N. Karthikeyan 9781522530152, 1522530150 instant download after payment.

The expansion of digital data has transformed various sectors of business such as healthcare, industrial manufacturing, and transportation. A new way of solving business problems has emerged through the use of machine learning techniques in conjunction with big data analytics.

Deep Learning Innovations and Their Convergence With Big Data is a pivotal reference for the latest scholarly research on upcoming trends in data analytics and potential technologies that will facilitate insight in various domains of science, industry, business, and consumer applications. Featuring extensive coverage on a broad range of topics and perspectives such as deep neural network, domain adaptation modeling, and threat detection, this book is ideally designed for researchers, professionals, and students seeking current research on the latest trends in the field of deep learning techniques in big data analytics.

Related Products