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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

Enhancing bots with QnA Maker

Microsoft's QnA Maker is a tool that can take frequently asked questions (FAQs) and turn them into a set of questions and answers using language understanding, allowing users to ask questions differently to get an answer that matches up to the question. QnA Maker can take in a list of tab-separated values (TSVs), an FAQ web page, and a PDF, to name a few. In this recipe, we will use a TSV with questions and answers.

QnA Maker solves the fuzzy logic of interpreting speech and determining the user's question. As part of the Cognitive Service speech ecosystem, it can be incorporated easily with Bot Framework and voice to give customers a rich interactive experience.

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