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Machine Learning for Edge Computing: Frameworks, Patterns and Best Practices - Edge AI in Future Computing
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
| 介质类型 | 图书 Paperback Book (平装胶订图书) |
| 已发行 | 2024年7月29日 |
| ISBN13 | 9780367698331 |
| 出版商 | Taylor & Francis Ltd |
| 页数 | 190 |
| 商品尺寸 | 150 × 220 × 10 mm · 370 g |
| 语言 | 英语 |
| 编辑 | Gandomani, Taghi Javdani |
| 编辑 | Kukreja, Vinay |
| 编辑 | Singh, Amitoj |