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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

Storing data

Today, there are tools that make it easy to work with large amounts of data. There are a few things to remember though. There are optimal ways of storing data at scale that can make dealing with large datasets easier.

Working with data, the type of large datasets that come from IoT devices can be prohibitively expensive for many companies. Storing data in Delta Lake, for example, can give the user a 340-times performance boost over accessing the data over JSON. The next three sections will introduce three storage methods that can cut down a data analytics job from weeks to hours.

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