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Hands-On Edge Analytics with Azure IoT

You're reading from  Hands-On Edge Analytics with Azure IoT

Product type Book
Published in May 2020
Publisher Packt
ISBN-13 9781838829902
Pages 262 pages
Edition 1st Edition
Languages
Author (1):
Colin Dow Colin Dow
Profile icon Colin Dow

Table of Contents (15) Chapters

Preface 1. Section 1: Getting Started with Edge Analytics
2. Introduction to Edge Analytics 3. How Does IoT Edge Analytics Work? 4. Communications Protocols Used in Edge Analytics 5. Section 2: Understanding Edge Analytics Technologies
6. Working with Microsoft Azure IoT Hub 7. Using the Raspberry Pi with Azure IoT Edge 8. Using MicroPython for Edge Analytics 9. Machine Learning and Edge Analytics 10. Designing a Smart Doorbell with Visual Recognition 11. Section 3: The Road Ahead
12. Security and Privacy in an Edge Analytics World 13. What Next? 14. Other Books You May Enjoy

Understanding machine learning and how it works with edge analytics

Machine learning can trace its origins back to 1949 in a book entitled, The Origins of Behavior, by Donald Hebb. In his book, Hebb describes concepts that relate to artificial neural networks. Arthur Samuel of IBM coined the phrase machine learning in 1952 after inventing a computer program for playing checkers.

For edge analytics, machine learning at the edge brings significant advantages. Picture, if you will, an automated security door application that scans a person's face and performs analysis on the person's voice to determine whether the door should open.

A traditional IoT approach may look like the following:

As we can see, a webcam is used to take a picture of Ted's face and a microphone listens to Ted's voice. A copy of the picture and a sound file of Ted's speech is sent to...

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