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Buy AI at the Edge by Situnayake, Daniel, Plunkett, Jenny online on desertcart.ae at best prices. ✓ Fast and free shipping ✓ free returns ✓ cash on delivery available on eligible purchase. Review: 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. Review: 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
| Best Sellers Rank | #338,410 in Books ( See Top 100 in Books ) #484 in Computer Hardware & DIY #978 in Computer Software #2,284 in Computer Science |
| Customer reviews | 4.2 4.2 out of 5 stars (26) |
| Dimensions | 18.42 x 2.54 x 24.13 cm |
| Edition | 1st |
| ISBN-10 | 1098120205 |
| ISBN-13 | 978-1098120207 |
| Item weight | 812 g |
| Language | English |
| Print length | 300 pages |
| Publication date | 24 January 2023 |
| Publisher | O'Reilly Media |
A**3
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.
M**A
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**D
The water-damaged book I received wasn't an inspiring read.
E**S
A**A
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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