Situnayake, Daniel
AI at the Edge: Solving Real-World Problems with Embedded Machine Learning
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- ISBN 13:
- 9781098120207
- author:
- Situnayake, Daniel
- format:
- Paperback
- publisher:
- O'Reilly Media
- language:
- English
- Publication Year:
- 2023
- Pages:
- 512
- Dimensions:
- 23.1 x 17.8 x 3.1 centimetres (0
- Genre:
- Computers, Computer Science, Computers,
- Condition:
- New
- Availability:
- Item usually sent within 10 working days
Description
This practical guide provides an end-to-end framework for solving real-world industrial, commercial, and scientific problems with edge AI. You'll explore every stage of the process, from data collection to model optimization to tuning and testing, as you learn how to design and support edge AI and embedded ML products.
Develop your expertise in AI and ML for edge devices by understanding which projects are best solved with edge AI, exploring key design patterns for edge AI apps, and learning an iterative workflow for developing AI systems. By following a responsible AI process, you can create effective products that make a real impact.
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