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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

Computing in the cloud

Applying AI algorithms to IoT-generated data requires computing resources. With the availability of a large number of cloud platforms offering service at competitive prices, cloud computing offers a cost-effective solution. Out of the many cloud platforms available today, we will talk about three main cloud platform providers that occupy the majority of the market share: Amazon Web Service (AWS), Google Cloud Platform (GCP), and Microsoft Azure.

AWS

Amazon offers almost every feature under the cloud, from a cloud database, to cloud computing resources, to even cloud analytics. It even provides space to build a secure data lake. Its IoT core allows users to connect devices to the cloud. It provides a...

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