A recent post on the math needed to do machine learning got me thinking and, when I get to thinking, I get to searching. I found this course on YouTube on Linear Algebra. In it, you’ll learn what linear algebra is and how it relates to vectors and matrices. Then look through what vectors and matrices are and how to work with them, including the knotty problem of eigenvalues and eigenvectors, and how to use these to solve problems. Finally, learn at how to use these to do fun things with datasets – like how to rotate images of faces and how to extract eigenvectors to look at how the Pagerank algorithm works.

Towards the end of the course, you’ll be able to write code blocks and encounter Jupyter notebooks in Python.

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