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Artificial Intelligence for IoT Cookbook

You're reading from Artificial Intelligence for IoT Cookbook

Product type Book

Published in Mar 2021

Publisher Packt

ISBN-13 9781838981983

Pages 260 pages

Edition 1st Edition

Languages

Concepts

Artificial Intelligence

Author (1):

Michael Roshak

Table of Contents (11) Chapters

Preface

1. Setting Up the IoT and AI Environment

2. Handling Data

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

The i.MX series

The i.MX series of chips is open source and boasts impressive RAM and CPU capabilities. The open design helps engineers build boards easily. The i.MX series uses Freescale semiconductors. Freescale semiconductors have guaranteed production life runs of 10 through 15 years, which means the board design will be stable for years. The i.MX 6 can range from $200 to $300 in cost and can handle CPU-intensive tasks easily, such as object recognition in live streaming video:

Price	Typical Models	Use Cases
$200+	Computer vision, NLP	Sentiment analysis, face recognition, object recognition, voice recognition

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Authors (1)

Michael Roshak

Michael Roshak is a cloud architect and strategist with extensive subject matter expertise in enterprise cloud transformation programs and infrastructure modernization through designing, and deploying cloud-oriented solutions and architectures. He is responsible for providing strategic advisory for cloud adoption, consultative technical sales, and driving broad cloud services consumption with highly strategic accounts across multiple industries.

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