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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
NLP and Bots for Self-Ordering Kiosks

Language understanding has improved dramatically over the past few years. New algorithms and hardware have come out that have dramatically changed the effectiveness of the feasibility of voice-activated systems. In addition, the ability for computers to accurately sound like a human has achieved near perfection. Another area where machine learning has made large strides in the past few years is natural language processing (NLP), or as some would call it, language understanding.

When you combine computer voice with language understanding, then new markets open up for voice-activated technologies such as smart kiosks and smart devices.

We will cover the following recipes in this chapter: 

  • Wake word detection
  • Speech-to-text using Microsoft Speech API
  • Getting started with LUIS
  • Implementing smart bots
  • Creating a custom voice
  • Enhancing bots...
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