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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: Singh, Amitoj (Editor), Kukreja, Vinay (Editor), Gandomani, Taghi Javdani (Editor)
Format: eBook
Language:English
Published: Boca Raton, FL CRC Press 2023
Edition:First edition
Series:Edge AI in future computing
Subjects:
Mathematical Models / Aat
Cloud Computing / Fast
Artificial Intelligence / Http://id.loc.gov/authorities/subjects/sh85008180
Modèles Mathématiques
Intelligence Artificielle
Cloud Computing / Http://id.loc.gov/authorities/subjects/sh2008004883
Machine Learning / Fast
Apprentissage Automatique
Computers / Computer Engineering / Bisacsh
Computers / Machine Theory / Bisacsh
Computer Security
Sécurité Informatique
Machine Learning / Http://id.loc.gov/authorities/subjects/sh85079324
Infonuagique
Artificial Intelligence
Cloud Computing
Artificial Intelligence / Aat
Edge Computing / Fast
Computers / General / Bisacsh
Computer Security / Http://id.loc.gov/authorities/subjects/sh90001862
Edge Computing / Http://id.loc.gov/authorities/subjects/sh2020005575
Models, Theoretical
Machine Learning
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
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"--
Physical Description:x, 189 pages illustrations (some color)
ISBN:1000609243
9781000609240
1003143466
9781000609233
9781003143468
1000609235

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