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Hands-On Artificial Intelligence for IoT

Hands-On Artificial Intelligence for IoT

By : Amita Kapoor, Hector Duran Lopez-Velarde
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Hands-On Artificial Intelligence for IoT

Hands-On Artificial Intelligence for IoT

5 (4)
By: Amita Kapoor, Hector Duran Lopez-Velarde

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 (14 chapters)
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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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