AI at the Edge: Solving Real-World Problems with Embedded Machine Learning
Product ID: 508628373
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This practical guide gives engineering professionals and product managers 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. Edge AI is destined to become a standard tool for systems engineers. This high-level roadmap will help you get started. Review: totally recommend - If you are looking for a complete guide for AI on the edge or tinyML then look no further, I really liked this book. It will take you through all the steps from the concepts, to a practical guide on how to create your own applications, including examples. I also really liked the Edge Impulse AI platform, to which you can get entry level access for free Review: A brilliant primer on the field of AI at the edge, essential reading for all techheads - Dan and Jenny have distilled down why bringing intelligence to tiny devices is so important. This book is essential reading for everyone in the hardware space, from embedded engineers and ML practitioners to R&D managers.
| Best Sellers Rank | 581,687 in Books ( See Top 100 in Books ) 719 in Computer Hardware (Books) 5,159 in Computer Science (Books) |
| Customer Reviews | 4.3 out of 5 stars 30 Reviews |
M**A
totally recommend
If you are looking for a complete guide for AI on the edge or tinyML then look no further, I really liked this book. It will take you through all the steps from the concepts, to a practical guide on how to create your own applications, including examples. I also really liked the Edge Impulse AI platform, to which you can get entry level access for free
J**M
A brilliant primer on the field of AI at the edge, essential reading for all techheads
Dan and Jenny have distilled down why bringing intelligence to tiny devices is so important. This book is essential reading for everyone in the hardware space, from embedded engineers and ML practitioners to R&D managers.
A**3
Outstanding book!
An excellent book that covers all aspects of edge AI development. A comprehensive reference book that can be used by different roles in the edge AI product development process.
J**D
Disappointing
The water-damaged book I received wasn't an inspiring read.
E**S
El producto llegó dañado. Como siempre, los libros no los protegen.
K**T
AI at the Edge
As an old school IT engineer, I have found this book to be very informative and easy to read. The authors have explained the nuances , etc. in the fast developing field of Edge computing and AI very well. The references are very useful for a practitioner and I strongly recommend this book for anyone interested in learning about Edge devices with AI interfaces.
A**A
Perfect embedded ML reference book
A must have if you're in or interested in the field of embedded machine learning! It does a great job of explaining in detail and connecting together all the embedded/ML/AI/engineering buzzwords you'll likely hear one day working in this field. Definitely something I'll be keeping in the back pocket. It also does a great job in exploring a topic there isn't too much literature on. In fact, I wrote a research paper a few years back during my MS in Computer Science specifically describing the void in literature in the field of embedded machine learning. This book certainly bridges that gap and I'm sure it'll be referred back to for years to come.
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