AI at the Edge: Solving Real-World Problems with Embedded Machine Learning 1st Edition

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.

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.

This book is not for learning how to program, but it’s a complete guidance to manage an AI project, including different approaches and tools that we can get. Highly recommend for people has some experience with AI and want to know more how to run an AI project.

This book is really interesting and explains machine learning at the edge in an easy to understand way. Even a beginner could get the gist of this topic. The authors have a great way of explaining things and provide lots of examples. I was nervous about reading it because I thought I would get lost, but the writing is super engaging and it’s an enjoyable read.

In my years as an IT Consultant, it was often a difficult task to provide information on a new technology to the multiple roles necessary in its successful development; and in a startup where a small team acts as everything from project manager to product leadership to software and hardware development roles this is particularly relevant, and this book fulfills all these needs to perfection. Edge AI is an extreme example of this sort of technology embodying both software, algorithm development, embedded hardware and electronics, as well as management lifecycle and product marketing roles. These expert developers: Daniel Situnayake and Jenny Plunkett both principals at Edge Impulse provide excellent direction which can be absorbed at all stages of this promising yet precarious development lifecycle.This book gives general background and instruction on what is Edge AI and Machine Learning providing clear explanations that can be grasped by less technical managers, as well as a detailed picture of what is necessary to create a realistic and successful development project that corresponds to a variety of use cases. The book is roughly divided into three relatively independent yet complete sections, first a tutorial on the definitions, lifecycle and caveats of successful embedded AI development, secondly a detailed but not overly complicated section provided the specifics of a successful implementation and the development and engineering issues involved (this is the largest section in the book), and finally 3 widely divergent use cases involving wildlife conservation, food safety, and a consumer product giving sufficient detail to insure successful implementation of similar and dissimilar products.While this is not primarily a software implementation book sufficient detail is provided for the Edge Impulse ML/Ops framework to allow successful end to end development with a variety of tools.This is one of the best books I have seen in over forty years as an IT consultant in introducing and successfully implementing a new technology.--Ira LaefskyMS Engineering UPenn/ Wharton MBA formerly on the Computer Consulting Staff of Arthur D. Little, Inc and Digital Equipment Corporation and now involved with a Stealth Mode Startup in a Directly Relevant Domain

Absolutely amazing book. I am very impressed by how easy it is to understand Edge AI after reading the real life examples and what "BLERP" means to apply to all real life potential applications.The book is filled with very good knowledge about the disruption that is about to occur in Edge AI. Coming from no background in this whatsoever, I feel much more confident about talking about it's capabilities, limitations, and where the future of Edge AI is.Must read for those entering the space, or in it now.

Love how practical this book is. You can really take the explanations in here and get a model to market!