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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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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

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In this recipe, we have only scratched the surface of what the IoT Hub SDK is capable of doing. For example, we could even send cloud-to-device messages that allow us to queue up a set of messages for the device to digest. We could have also sent a direct message. This is like a cloud-to-device message that sends a message to a device but does not queue the message. If a device is offline, the message never gets sent. Another option would have been to upload to a blob. This allows us to upload log or binary files securely and directly to blob storage. Finally, we could have used device twins, which allow us to have a configuration file set on the device and can be queried across a fleet of devices. This would help us find out if an update did not work or a setting did not get set properly.

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