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Key benefits

Discover quick solutions to common problems that you’ll face while building smart IoT applications

Implement advanced techniques such as computer vision, NLP, and embedded machine learning

Build, maintain, and deploy machine learning systems to extract key insights from IoT data

Description

Artificial intelligence (AI) is rapidly finding practical applications across a wide variety of industry verticals, and the Internet of Things (IoT) is one of them. Developers are looking for ways to make IoT devices smarter and to make users’ lives easier. With this AI cookbook, you’ll be able to implement smart analytics using IoT data to gain insights, predict outcomes, and make informed decisions, along with covering advanced AI techniques that facilitate analytics and learning in various IoT applications. Using a recipe-based approach, the book will take you through essential processes such as data collection, data analysis, modeling, statistics and monitoring, and deployment. You’ll use real-life datasets from smart homes, industrial IoT, and smart devices to train and evaluate simple to complex models and make predictions using trained models. Later chapters will take you through the key challenges faced while implementing machine learning, deep learning, and other AI techniques, such as natural language processing (NLP), computer vision, and embedded machine learning for building smart IoT systems. In addition to this, you’ll learn how to deploy models and improve their performance with ease. By the end of this book, you’ll be able to package and deploy end-to-end AI apps and apply best practice solutions to common IoT problems.

Who is this book for?

If you’re an IoT practitioner looking to incorporate AI techniques to build smart IoT solutions without having to trawl through a lot of AI theory, this AI IoT book is for you. Data scientists and AI developers who want to build IoT-focused AI solutions will also find this book useful. Knowledge of the Python programming language and basic IoT concepts is required to grasp the concepts covered in this artificial intelligence book more effectively.

What you will learn

Explore various AI techniques to build smart IoT solutions from scratch

Use machine learning and deep learning techniques to build smart voice recognition and facial detection systems

Gain insights into IoT data using algorithms and implement them in projects

Perform anomaly detection for time series data and other types of IoT data

Implement embedded systems learning techniques for machine learning on small devices

Apply pre-trained machine learning models to an edge device

Deploy machine learning models to web apps and mobile using TensorFlow.js and Java

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

Frequently bought together

$49.99

$51.99

Artificial Intelligence for IoT Cookbook

$43.99

Total $ 145.97

AMol SOlanki Dec 05, 2021

If you want to apply AI to your IOT application then this book would do the trick. Author has included multiple recipes for a variety of IOT apps. Author has done a great job by not sticking to one language instead the book contain solutions in multiple languages/environments. which is great when you want to solve real world problems.The step-by-step approach on how to do and how it works stands out. Author has put in extra efforts to explain each and every concepts.If you want to implement an IOT soln with AI then this book is great and must have resource.

Amazon Verified review

Barron Barnett Mar 13, 2021

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.

Amazon Verified review

AT Apr 26, 2021

Disclaimer: The publisher asked me to review this book & gave me a review copy. I will give my honest opinion about the book, the good and the less so.This book will give you great start if you want to learn to apply ML models to IOT applications.This book covers complete end-to-end IoT/ML life cycle. It pretty much covers every step, right from setting up the environment, choosing hardware to the deployment to the edge devices. It walks you through with hands on example code. This covers lot of different tools, techniques & great details on data handling part.Overall, I will highly recommend this book, if you want to start on building an IOT application. It is spot on with hands on recipes with different real world examples.

Amazon Verified review

Sean Kelly Mar 10, 2021

Disclaimer: The author asked me to review this book and gave me a review copy. I worked with Mike, side by side, for more than 3 years as we helped hundreds of companies build IoT solutions based on the concepts, tools, and technologies covered in this book. While we didn’t always see eye to eye on how best to help our customers, we agreed far more often than we differed, and the healthy debate made us both better for it.This book’s biggest strength is also its biggest weakness. Building an IoT solution that leverages AI is an enormous task encompassing everything from electrical engineering, firmware development, network topologies, high availability cloud architectures, data science, UI/Ux, and even business models to make the whole thing profitable. The topic could easily fill multiple volumes. While Mike is focused on the AI part, some amount of the rest has to come into play so that the reader can understand how it all fits together.Overall, Mike did an excellent job. The recipes are solid and representative of the current state of the art. I would have liked if he had spent more time explaining some of the information that he mentions only in passing, but then the book would have been twice as big and probably felt less focused.If you are building an IoT solution and thinking about how to utilize AI, this book will pay for itself quickly in time saved by not running down deadends and avoiding common pitfalls.

Amazon Verified review

Murphy Choy Aug 26, 2021

For folks like me who loves IOT, this is a great recipe book for a variety of IOT applications. Easy to use, quick to see result.

Amazon Verified review

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

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