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Computational Linear Algebra 7: Compressed Sensing for CT Scans

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Course materials available here: https://github.com/fastai/numerical-linear-algebra
Compressed sensing is critical to allowing CT scans with lower radiation-- the image can be reconstructed with less data. Here we will learn the technique and apply it to CT images.
Numpy Broadcasting
Sparse matrices
CT Scans and Compressed Sensing
L1 and L2 regression
These topics are reviewed in the Lesson 8 Video.

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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Computational Linear Algebra 7: Compressed Sensing for CT Scans

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۰ نظر

Course materials available here: https://github.com/fastai/numerical-linear-algebra
Compressed sensing is critical to allowing CT scans with lower radiation-- the image can be reconstructed with less data. Here we will learn the technique and apply it to CT images.
Numpy Broadcasting
Sparse matrices
CT Scans and Compressed Sensing
L1 and L2 regression
These topics are reviewed in the Lesson 8 Video.

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