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Machine Learning for Edge Computing: Frameworks, Patterns and Best Practices - Edge AI in Future Computing
Amitoj Singh
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Machine Learning for Edge Computing: Frameworks, Patterns and Best Practices - Edge AI in Future Computing
Amitoj Singh
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.
184 pages, 26 Line drawings, black and white; 10 Halftones, black and white; 27 Tables, black and wh
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | July 29, 2022 |
| ISBN13 | 9780367694326 |
| Publishers | Taylor & Francis Ltd |
| Pages | 190 |
| Dimensions | 242 × 163 × 20 mm · 472 g |
| Language | English |
| Editor | Gandomani, Taghi Javdani |
| Editor | Kukreja, Vinay |
| Editor | Singh, Amitoj |
