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Machine Learning for Edge Computing: Frameworks, Patterns and Best Practices - Edge AI in Future Computing
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Machine Learning for Edge Computing: Frameworks, Patterns and Best Practices - Edge AI in Future Computing
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.
190 pages, 27 Tables, black and white; 26 Line drawings, black and white; 10 Halftones, black and wh
| Medios de comunicación | Libros Paperback Book (Libro con tapa blanda y lomo encolado) |
| Publicado | 29 de julio de 2024 |
| ISBN13 | 9780367698331 |
| Editores | Taylor & Francis Ltd |
| Páginas | 190 |
| Dimensiones | 150 × 220 × 10 mm · 370 g |
| Lengua | Inglés |
| Editor | Gandomani, Taghi Javdani |
| Editor | Kukreja, Vinay |
| Editor | Singh, Amitoj |