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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

Introduction

Have you ever observed infants and how they learn to turn over, sit up, crawl, and even stand? Have you watched how baby birds learn to fly—the parents throw them out of the nest, they flutter for some time, and they slowly learn to fly. All of this learning involves a component of the following:

  • Trial and error: The baby tries different ways and is unsuccessful many times before finally succeeding in doing it.
  • Goal-oriented: All of the efforts are toward reaching a particular goal. The goal for the human baby can be to crawl, and for baby bird to fly.
  • Interaction with the environment: The only feedback that they get is from the environment.
This YouTube video is a beautiful video of a child learning to crawl and the stages in between https://www.youtube.com/watch?v=f3xWaOkXCSQ.

The human baby learning to crawl or baby bird learning to fly are both examples...

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