Free YouTube series teaches linear algebra for AI & ML, covering SVD to eigendecomposition
wufuheng · reddit · 2026-11-01
The author of Math for AI & ML launched a YouTube video series accompanying Part I of the book (Chapters 1–10), covering the linear algebra foundations for AI: vector spaces, inner products, matrix operations, subspaces, orthogonality, QR and LU decompositions, eigendecomposition, symmetric matrices, and SVD. The series is publicly available, with the author soliciting feedback.
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