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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 to genetic algorithms

According to the work of Charles Darwin, the famous biologist, the animal and plant species that we see today have emerged due to millions of years of evolution. The process of evolution is guided by the principle of survival of the fittest, selecting the organisms that have a better chance of survivability. The plants and animals that we see today are the results of millions of years of adaptation to the constraints imposed by the environment. At any given time, a large number of varied organisms may coexist and compete for the same environmental resources.

The organisms that are most capable of both acquiring the resources and procreation are the ones whose descendants will have more chances of survival. Organisms that are less capable, on the other hand, will tend to have few or no descendants. Over time, the entire population will evolve...

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