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:

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Shawn gives a humorous example of where data bias created a machine learning model that did not work as expected. Alex talks about the key enablers for ML technology and how we can come to trust AI through lawful, ethical, and robust use of models. Finally, Alex and Shawn discuss the EU Ethics Guidelines for Trustworthy AI as well as the Responsible AI License (RAIL).

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