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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

Streaming machine learning with Spark and Kafka

Kafka is a real-time streaming message hub. Combined with Kafka, Databrick's ability to ingest streams and perform machine learning on them in real time allows you to perform powerful machine learning in near real time. In this recipe, we are going to use  Confluent. Confluent is the company that was founded by the creators of Kafka. They have a cloud offering on Azure, GCP, and AWS. We are also going to use Databricks, which is available on Azure, GCP, and AWS.

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