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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

Product type Paperback

Published in Jan 2019

Publisher Packt

ISBN-13 9781788836067

Length 390 pages

Edition 2nd Edition

Languages

Python

Tools

Apache Spark

Concepts

Artificial Intelligence

Author (1):

Dr. Amita Kapoor

View More author details

Table of Contents (14) Chapters

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

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Personal IoT

The personal IoT is dominated by the use of wearables, technological devices designed to be worn on body, they are used in tandem with an app on a smartphone. The first wearable available was the Pulsar Calculator watch made by Time Computer Inc, USA (at that time known as Hamilton Watch Company). It was a standalone device not connected to the internet. Soon, with the growth of the internet, wearables that can connect to the internet became a fad. The wearables market is expected to jump from an estimate of 325million in 2016 to over 830million by 2020:

This graph shows the number of wearables worldwide from 2016–2021 (data source: Statista). With so many devices connected online, continuously generating data, AI/ML tools are a natural choice to analyze this data and make informed decisions. In this section, you will learn about some successful personal IoT applications.

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Authors (1)

Amita Kapoor

Amita Kapoor

Amita Kapoor, a seasoned expert in Artificial Intelligence, serves as the Chief Artificial Intelligence Officer at TIPZ AI, bringing over 25 years of experience in AI, data science, and neuroscience. Her consultancy, NePeur, stands testament to her leadership in applying AI across diverse industries, enhancing operational efficiency and business intelligence. Amita is also a devoted board member of Neuromatch Academy, where she plays a crucial role in making neuroscience and deep learning education accessible to all. Holding a PhD from the University of Delhi, she has dedicated her career to education, authoring numerous articles and papers, and creating impactful online classes. Her significant contributions extend to pioneering projects in intelligent vehicle fleet management, home surveillance through AI-powered face detection, and robust data anonymization solutions. Connect with Amita on LinkedIn.

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