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Professor Gilbert Strang of MIT

"Singular Values of Matrices and Data Science"

Wednesday, February 1, 2017
  3:40–5 p.m.

Location: Surge Building 284
  Parking Information

Category: Colloquium


The "fundamental theorem of linear algebra"  tells us about orthogonal bases for the row space and column space of any matrix. More than that, it identifies the most important part of the matrix -- which is a central goal for a matrix of data. This talk will be partly about the underlying theory -- the Singular Value Decomposition -- and partly about some of its applications to data science and signal and image compression. 

Additional Information: Math Colloquiums

Open to: General Public
Admission: Free
Sponsor: Mathematics

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