I create a Youtube channel https://www.youtube.com/@math4aiorg for the book ( https://www.amazon.com/dp/B0GSXVFMLD/ ) Math for AI & ML’s Part I. Part I (Chapters 1–10) covers linear algebra fundamentals: vector spaces, inner products, matrix operations, subspaces, orthogonality, QR decomposition, LU factorization, eigendecomposition, symmetric matrices, and the Singular Value Decomposition (SVD)—establishing the mathematical foundation for representation in AI. Please let me know if there is any suggestion. submitted by /u/wufuheng
Originally posted by u/wufuheng on r/ArtificialInteligence
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