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

Why do we need smart cities?


According to UN data (https://population.un.org/wup/DataQuery/), the world population will reach 9.7 billion (9.7 × 109) by the end of 2050. It's presumed that almost 70% of that population will be an urban population with many cities having over 10 million inhabitants. It's a significant number and, as the number grows, not only are we presented with new opportunities, but we also face many unique challenges:

Predicted world population (data from UN)

The most difficult challenge is making resources and energy available to all of the inhabitants and, at the same time, avoiding environment deterioration. At present, cities consume 75% of the world's resources and energy and generate 80% of greenhouse gases; while there's a trend towards green energy sources, we all understand that the earth's resources, such as food and water, are limited. Another critical challenge is administration and management; with the growing population, strategies will be needed to prevent...