Hands-On Edge Analytics with Azure IoT

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 ...