Machine learning for edge computing : frameworks, patterns and best practices

Machine learning for edge computing frameworks, patterns and best practices

"This book divides edge intelligence into AI for edge (intelligence-enabled edge computing) and AI on edge (artificial intelligence on edge). It focuses on providing optimal solutions to the key concerns in edge computing through effective AI technologies, and it also discusses how to build AI...

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Bibliographic Details
Other Authors: Kukreja, Vinay, editor (editor), Gandomani, Taghi Javdani, 1975- editor, Singh, Amitoj, editor
Format: eBook
Language:Inglés
Published: Boca Raton, FL ; Abingdon, Oxon : CRC Press [2023]
Edition:First edition
Series:Edge AI in future computing.
Subjects:
Edge computing.
Machine learning.
Cloud computing.
Artificial intelligence.
Computer security.
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009809023606719
Description
Summary:"This book divides edge intelligence into AI for edge (intelligence-enabled edge computing) and AI on edge (artificial intelligence on edge). It focuses on providing optimal solutions to the key concerns in edge computing through effective AI technologies, and it also discusses how to build AI models, i.e., model training and inference, on edge"--
Item Description:Includes index.
Physical Description:1 online resource (200 pages)
ISBN:9781003143468
9781000609240
9781000609233

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