
Harvard University
Fundamentals of TinyML
4.567 ratingsFocusing on the basics of machine learning and embedded systems, such as smartphones, this course will introduce you to the “language” of TinyML.
Massachusetts Institute of Technology
via YouTube Video playlist
This graduate-level course is a continuation of Mathematical Methods for Engineers I (18.085). Topics include numerical methods; initial-value problems; network flows; and optimization.
View the complete course at: http://ocw.mit.edu/18-086S06
License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
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Focusing on the basics of machine learning and embedded systems, such as smartphones, this course will introduce you to the “language” of TinyML.

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