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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

Implementing smart bots

In this recipe, we are going to use Microsoft Bot Framework to create smart bots. Smart bots implement a conversation between the user and the bot. These conversations trigger a series of actions. Bots keep track of the conversation state so that it knows where it is in the conversation. Bots also keep track of the user state, or to be more precise, they keep track of the variables the user has inputted.

Bots have been used to input complex forms such as legal forms or financial documents. For our self-ordering kiosk scenario, we will be implementing a simple bot that allows someone to add food to their order. We will build upon the LUIS model we implemented in the previous recipe.

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