This video presents an overview of the singular value decomposition (SVD), which is one of the most widely used algorithms for data processing, reduced-order modeling, and high-dimensional statistics.
These lectures follow Chapter 1 from:
"Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Brunton and Kutz
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This video was produced at the University of Washington
Singular Value Decomposition (SVD): Overview For Country: United States. City: Albany, Jacksonville, Long Beach, Saint Paul, Tulsa
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