Edge Learning for Distributed Big Data Analytics : Theory, Algorithms, and System Design
Book Details
Format
Hardback or Cased Book
ISBN-10
1108832377
ISBN-13
9781108832373
Publisher
Cambridge University Press
Imprint
Cambridge University Press
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Feb 10th, 2022
Print length
228 Pages
Weight
538 grams
Dimensions
17.60 x 25.10 x 2.10 cms
Product Classification:
Data analysis: generalComputer networking & communicationsMachine learning
Ksh 12,050.00
Werezi Extended Catalogue
0 in stock
Delivery Location
Delivery fee: Select location
Secure
Quality
Fast
Introduces fundamental theory, basic and advanced algorithms, and system design issues. Essential reading for experienced researchers and developers, or for those who are just entering the field.
Discover this multi-disciplinary and insightful work, which integrates machine learning, edge computing, and big data. Presents the basics of training machine learning models, key challenges and issues, as well as comprehensive techniques including edge learning algorithms, and system design issues. Describes architectures, frameworks, and key technologies for learning performance, security, and privacy, as well as incentive issues in training/inference at the network edge. Intended to stimulate fruitful discussions, inspire further research ideas, and inform readers from both academia and industry backgrounds. Essential reading for experienced researchers and developers, or for those who are just entering the field.
Get Edge Learning for Distributed Big Data Analytics by at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Cambridge University Press and it has pages.
