Introduction to Embedded Machine Learning 1.1.1 - What is Machine Learning?

Embedded machine learning is the process of running machine learning algorithms (including deep learning) on embedded systems, such as microcontrollers and single board computers. These videos come from the Coursera course: Introduction to Embedded Machine Learning. If you would like to take the full course, complete projects, and earn a certificate in embedded machine learning, please go here:

https://www.coursera.org/learn/introd...

In this video, Alex Fred-Ojala provides an overview of the field of machine learning and how it relates to data science, artificial intelligence, and deep learning. He gives a brief look at the history of machine learning and talks about some of the recent advances that have lead to embedded machine learning. Finally, he talks about how machine learning can be broken down into the main categories of supervised learning, unsupervised learning, and reinforcement learning.

You can read about machine learning as part of our Introduction to Edge AI series here: https://edge-impulse.gitbook.io/docs/...