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Edge Learning for Distributed Big Data Analytics - Theory, Algorithms, and System Design (Hardcover) Loot Price: R2,081
Discovery Miles 20 810
Edge Learning for Distributed Big Data Analytics - Theory, Algorithms, and System Design (Hardcover): Song Guo, Zhihao Qu

Edge Learning for Distributed Big Data Analytics - Theory, Algorithms, and System Design (Hardcover)

Song Guo, Zhihao Qu

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Loot Price R2,081 Discovery Miles 20 810 | Repayment Terms: R195 pm x 12*

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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.

General

Imprint: Cambridge UniversityPress
Country of origin: United Kingdom
Release date: February 2022
Authors: Song Guo • Zhihao Qu
Dimensions: 251 x 176 x 17mm (L x W x T)
Format: Hardcover
Pages: 228
ISBN-13: 978-1-108-83237-3
Categories: Books > Reference & Interdisciplinary > Communication studies > Data analysis
Books > Computing & IT > Computer communications & networking > General
Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
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LSN: 1-108-83237-7
Barcode: 9781108832373

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