Book Image

Hands-On Artificial Intelligence for IoT - Second Edition

By : Amita Kapoor
Book Image

Hands-On Artificial Intelligence for IoT - Second Edition

By: Amita Kapoor

Overview of this book

There are many applications that use data science and analytics to gain insights from terabytes of data. These apps, however, do not address the challenge of continually discovering patterns for IoT data. In Hands-On Artificial Intelligence for IoT, we cover various aspects of artificial intelligence (AI) and its implementation to make your IoT solutions smarter. This book starts by covering the process of gathering and preprocessing IoT data gathered from distributed sources. You will learn different AI techniques such as machine learning, deep learning, reinforcement learning, and natural language processing to build smart IoT systems. You will also leverage the power of AI to handle real-time data coming from wearable devices. As you progress through the book, techniques for building models that work with different kinds of data generated and consumed by IoT devices such as time series, images, and audio will be covered. Useful case studies on four major application areas of IoT solutions are a key focal point of this book. In the concluding chapters, you will leverage the power of widely used Python libraries, TensorFlow and Keras, to build different kinds of smart AI models. By the end of this book, you will be able to build smart AI-powered IoT apps with confidence.
Table of Contents (20 chapters)
Title Page
Copyright and Credits
Dedication
About Packt
Contributors
Preface
Index

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, containing on average organisms that are more fit than the previous generations.

What makes this possible? What decides...