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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

Product type Paperback

Published in Mar 2021

Publisher Packt

ISBN-13 9781838981983

Length 260 pages

Edition 1st Edition

Languages

Python

Tools

Raspberry Pi

Concepts

Artificial Intelligence

Author (1):

Michael Roshak

View More author details

Table of Contents (11) Chapters

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

Setting up IoT Hub

Developing IoT solutions can be complicated. There are many issues to deal with, such as ML, Edge deployments, security, monitoring device state, and ingesting telemetry in the cloud. Cloud providers such as Azure provide a ready-made solution that can have components such as data storage and cloud-to-device messages built in.

In this recipe, we are going to set up IoT Hub in Azure for an IoT Edge device that will be doing ML calculations on the Edge.

The rest of the chapter is locked

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Authors (1)

Roshak

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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