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Hands-On Artificial Intelligence for IoT

You're reading from   Hands-On Artificial Intelligence for IoT Expert machine learning and deep learning techniques for developing smarter IoT systems

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Product type Paperback
Published in Jan 2019
Publisher Packt
ISBN-13 9781788836067
Length 390 pages
Edition 2nd Edition
Languages
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Author (1):
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Dr. Amita Kapoor Dr. Amita Kapoor
Author Profile Icon Dr. Amita Kapoor
Dr. Amita Kapoor
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Table of Contents (14) Chapters Close

Preface 1. Principles and Foundations of IoT and AI FREE CHAPTER 2. Data Access and Distributed Processing for IoT 3. Machine Learning for IoT 4. Deep Learning for IoT 5. Genetic Algorithms for IoT 6. Reinforcement Learning for IoT 7. Generative Models for IoT 8. Distributed AI for IoT 9. Personal and Home IoT 10. AI for the Industrial IoT 11. AI for Smart Cities IoT 12. Combining It All Together 13. Other Books You May Enjoy

Personal and Home IoT

Now that you are fully equipped with machine learning (ML) and deep learning (DL) knowledge, and have learned how to use it for big data, image tasks, text tasks, and time series data, it is time to explore some real uses of the algorithms and the techniques that you have learned. This chapter and the following two chapters will now concentrate on some specific case studies. This chapter will focus on personal and home Internet of Things (IoT) use cases. We will cover the following in this chapter:

  • Successful IoT applications
  • Wearables and their role in personal IoT
  • How to monitor heart using ML
  • What makes home smart home
  • Devices used in smart home
  • The application of Artificial Intelligence in predicting human activity recognition
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