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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


AI-powered IoT solutions can help connect cities and manage multiple infrastructure, and public services. This chapter covered diverse use cases of smart cities, from smart lighting and road traffic to connected public transport, and waste management. From the successful case studies, we also learned that smart cities can lead to reduced costs for energy, optimized use of natural resources, safer cities, and a healthier environment. This chapter listed some of the open city data portals and the information available there. We use the tools learned in this book to categorize the data from the San Francisco crime reports done in a period of 12 years. And finally, this chapter discussed some challenges and benefits in the building of smart cities.

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