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 talks about why feature extraction is important in machine learning and demonstrates how "features" are extracted from accelerometer data using the Fast Fourier Transform.

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