Artificial Intelligence for IoT Cookbook: Over 70 recipes for building AI solutions for smart homes, industrial IoT, and smart cities

I enjoyed reading it so much.Very useful content and contains all the technical data i would like.Definitely i will tell a friend to purchase this.

Disclaimer: I was given a copy to review and was asked by the author to do so. Like Sean I worked with Mike for 3 years helping numerous companies develop and accelerate their IoT solution. Like most engineering teams we all had our own focus, domain, and priorities that we had to trade, we understood the perspectives of each other. When issues did arise we spent most of our time educating each other and often realizing we had a trade to make, or we were walking a dead end path. My focus was embedded hardware, software, and edge solutions.Overall I’d say this book is a good at giving a person enough background to be dangerous. What do I mean, that sounds horrible right? What I mean is someone can gain the technical skills and rudimentary understanding but may not have the experience, institutional knowledge, or full understanding of the limitations. This problem doesn’t just apply to this book, it’s common everywhere and it a factor that comes with experience. I regularly deal with people who still look at AI/ML at times like a magical cure all.The book doesn’t sell AI/ML as a magic solution and covers a good majority of the basics with examples you can do yourself to see how they work. The problem is each of the sub parts of this could fill multiple volumes on their respective topics. For example the book does cover a preventative maintenance tutorial. What is missing from that is a lot of the statistics that go behind the validity of the model, probability in properly detecting as well as failures in detection given an initial training datasets size and the number of products to actually be put in the field. That subject alone is easily at least a few chapters in an advanced book, if not an entire book itself. This was a point we often would have to work with customers on to educate and help them determine the viability of getting a training dateset for the size of their fielded system.If you're getting into IoT this is absolutely a book to pick up to lay a foundation to start building on top of. It provides solid paths to avoid common issues that regularly occur in IoT solutions. Especially for understanding how to leverage the cloud in your solution.

Disclaimer: The author asked me to review this book and gave me a review copy. I worked on a team with Mike for over 3 years building IoT/AI solutions for hundreds of companies in just about every IoT/AI sector you can imagine.This book is a tremendous resource for anyone looking to learn more about the application of AI for IoT projects. I'm a professional Machine Learning Engineer with experience working on dozens of different AI projects in the IoT industry, so I was very excited when I heard Mike was writing a book with a laser-eyed focus on my field. Mike's overall software engineering skills were inspiring to me as a young developer when I started working on a team with him. When I heard he was writing a book, I knew it was going to be a great resource with a ton of valuable information. I can safely say I wasn't disappointed.The Artificial Intelligence for IoT Cookbook fills an essential gap I often find in reference books by focusing on a collection of concrete examples. Instead of explaining what an AI/IoT solution could hypothetically look like, this book shows you exactly what an AI/IoT solution looks like step-by-step. Mike has taken great care to thorough explain every concept and design decision made in this book.What makes this book especially useful is it's multi-environment approach to the solutions it contains. Other resource books too often focus on creating a solution in a particular language or a particular environment, when in the real world, solutions are almost always comprised of a collection of languages, services, and environments all working together. This book covers these component pieces (such as Python, Moby, IoT Hub, Databricks, Kafka, Azure Cognitive Services, etc.) thoroughly and deftly shows how they are all designed to work together. Good luck finding another resource which does this great of a job tackling such a wide range of tools.All-in-all, I highly recommend this book to both amateurs looking to enter the field and professionals looking to learn more about different tools for IoT and AI.

Disclaimer: I was sent a copy of the book and asked to review it. Also, #IamIntel.One thing I really liked about the book was the format of "How to do it" and "how it works". This approach made the concepts more accessible and easy to follow. The book covers the basics such as installing popular frameworks like Tensorflow and Pytorch. It includes plenty of sample code as well.As the book progresses, topics get more interesting and advanced. It covers things like simple predictive maintenance, anomaly detection, NLP and bots. It also talks about face detection but not about any of the ethical issues around it. I would have appreciated a discussion on ethical AI in addition to the technical info. I also appreciated the section on deploying to the edge. It would also have been great to include sections on tools such as OpenVINO and Landing.AI, as well as topics on MLOps. Overall the book is a nice way to learn and seems to be what it says - a cookbook.

Nice book with great examples on how to use IoT technology, but after getting to chapter 3, I'm missing to find the sample datasets to perform the algorithms, I looked through GitHub and they are missing quite a few datasets.