Machine Learning for Edge Computing Frameworks, Patterns and Best Practices |
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| Editor:
| Singh, Amitoj
Kukreja, Vinay
Gandomani, Taghi Javdani |
| Series title: | Edge AI in Future Computing Ser. |
| ISBN: | 978-1-000-60923-3 |
| Publication Date: | Jul 2022 |
| Publisher: | Taylor & Francis Group
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| Imprint: | CRC Press |
| Book Format: | Digital (delivered electronically) |
| List Price: | USD $99.95USD $150.00USD $110.00 |
Book Description:
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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.
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.