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Artificial Intelligence for IoT Cookbook

You're reading from   Artificial Intelligence for IoT Cookbook Over 70 recipes for building AI solutions for smart homes, industrial IoT, and smart cities

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Product type Paperback
Published in Mar 2021
Publisher Packt
ISBN-13 9781838981983
Length 260 pages
Edition 1st Edition
Languages
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Author (1):
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Michael Roshak Michael Roshak
Author Profile Icon Michael Roshak
Michael Roshak
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Toc

Table of Contents (11) Chapters Close

Preface 1. Setting Up the IoT and AI Environment 2. Handling Data FREE CHAPTER 3. Machine Learning for IoT 4. Deep Learning for Predictive Maintenance 5. Anomaly Detection 6. Computer Vision 7. NLP and Bots for Self-Ordering Kiosks 8. Optimizing with Microcontrollers and Pipelines 9. Deploying to the Edge 10. About Packt

Raspberry Pi Class

Raspberry Pis are a standard starter kit for IoT. With their $35 price tag, they give you a lot of capability for the cost: they can run ML on the Edge with containers. They have a Linux or IoT Core operating system, which allows the easy plugging and playing of components and a community of developers building similar platform tools. Although Raspberry Pi Class devices are capable of handling most ML tasks, they tend to have performance issues on some of the more intensive tasks, such as video recognition:

Price Typical Models Use Cases
$35 Decision trees, artificial neural networks, anomaly detection Smart home, industrial IoT

 

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