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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

Summary

In this chapter, we learned about IoT, big data, and AI. This chapter introduced the common terminologies used in IoT. We learned about the IoT architecture for data management and data analysis. The enormous data generated by IoT devices necessitates special ways to handle it.

We learned about how data science and AI can help in both analytics and prediction generated by the many IoT devices. Various IoT platforms were briefly described in this chapter, as were some popular IoT verticals. We also learned about special DL libraries: TensorFlow and Keras. Finally, some of the datasets we'll be using throughout the book were introduced.

The next chapter will cover how to access the datasets available in varied formats.

You have been reading a chapter from
Hands-On Artificial Intelligence for IoT - Second Edition
Published in: Jan 2019
Publisher: Packt
ISBN-13: 9781788836067
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