Computational Linear Algebra 6: Block Matrix Mult, Broadcasting, & Sparse Storage
Course materials available here: https://github.com/fastai/numerical-linear-algebra
Answer questions from the previous class about randomized projections, history of Gaussian elimination, and instability of LU without pivots.
Cover block matrix multiplication, numpy broadcasting, and sparse matrix storage formats.
Course overview blog post: http://www.fast.ai/2017/07/17/num-lin-alg/
Taught in the University of San Francisco MS in Analytics (MSAN) graduate program: https://www.usfca.edu/arts-sciences/graduate-programs/analytics
Ask questions about the course on our fast.ai forums: http://forums.fast.ai/c/lin-alg
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