logo
Product categories

EbookNice.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://ebooknice.com/page/post?id=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.

EbookNice Team

(Ebook) Artificial Intelligence and Machine Learning for EDGE Computing by Rajiv Pandey, Sunil Kumar Khatri, Neeraj Kumar Singh, Parul Verma ISBN 9780128240540, 0128240547

  • SKU: EBN-44502296
Zoomable Image
$ 32 $ 40 (-20%)

Status:

Available

5.0

39 reviews
Instant download (eBook) Artificial Intelligence and Machine Learning for EDGE Computing after payment.
Authors:Rajiv Pandey, Sunil Kumar Khatri, Neeraj Kumar Singh, Parul Verma
Pages:484 pages.
Year:2022
Editon:1
Publisher:Elsevier
Language:english
File Size:92.21 MB
Format:pdf
ISBNS:9780128240540, 0128240547
Categories: Ebooks

Product desciption

(Ebook) Artificial Intelligence and Machine Learning for EDGE Computing by Rajiv Pandey, Sunil Kumar Khatri, Neeraj Kumar Singh, Parul Verma ISBN 9780128240540, 0128240547

Artificial Intelligence and Machine Learning for Predictive and Analytical Rendering in Edge Computing focuses on the role of AI and machine learning as it impacts and works alongside Edge Computing. Sections cover the growing number of devices and applications in diversified domains of industry, including gaming, speech recognition, medical diagnostics, robotics and computer vision and how they are being driven by Big Data, Artificial Intelligence, Machine Learning and distributed computing, may it be Cloud Computing or the evolving Fog and Edge Computing paradigms. Challenges covered include remote storage and computing, bandwidth overload due to transportation of data from End nodes to Cloud leading in latency issues, security issues in transporting sensitive medical and financial information across larger gaps in points of data generation and computing, as well as design features of Edge nodes to store and run AI/ML algorithms for effective rendering. Provides a reference handbook on the evolution of distributed systems, including Cloud, Fog and Edge Computing Integrates the various Artificial Intelligence and Machine Learning techniques for effective predictions at Edge rather than Cloud or remote Data Centers Provides insight into the features and constraints in Edge Computing and storage, including hardware constraints and the technological/architectural developments that shall overcome those constraints
*Free conversion of into popular formats such as PDF, DOCX, DOC, AZW, EPUB, and MOBI after payment.

Related Products