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Notes on math and machine learning.

Matrix Calculus (for ML and beyond) -- notes.

I discovered this nice set of notes by Paige Bright, Alan Edelman, and Steven G. Johnson (from an MIT course).

Great if you have forgotten what differential calculus looks like.