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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 2. Data Access and Distributed Processing for IoT FREE CHAPTER 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

Principles and Foundations of IoT and AI

Congratulations on purchasing this book; it suggests that you're keenly interested in keeping yourself updated with the recent advancements in technology. This book deals with the three big trends in the current business scenario, Internet of Things (IoT), big data, and Artificial Intelligence (AI). The exponential growth of the number of devices connected to the internet, and the exponential volume of data created by them, necessitate the use of the analytical and predictive techniques of AI and deep learning (DL). This book specifically targets the third component, the various analytical and predictive methods or models available in the field of AI for the big data generated by IoT.

This chapter will briefly introduce you to these three trends and will expand on how they're interdependent. The data generated by IoT devices is uploaded to the cloud, hence you'll also be introduced to the various IoT cloud platforms and the data services they offer.

This chapter will cover the following points:

  • Knowing what's a thing is in IoT, what devices constitute things, what the different IoT platforms are, and what an IoT vertical is
  • Knowing what big data is and understanding how the amount of data generated by IoT lies in the range of big data
  • Understanding how and why AI can be useful for making sense of the voluminous data generated by IoT
  • With the help of an illustration, understanding how IoT, big data, and AI together can help us shape a better world
  • Learning about some of the tools needed to perform analysis
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