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Searched for: 1 subject found.
18.065 Matrix Methods in Data Analysis, Signal Processing, and Machine Learning
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(Subject meets with 18.0651)
Prereq: 18.06
Units: 3-0-9
Reviews linear algebra with applications to life sciences, finance, engineering, and big data. Covers singular value decomposition, weighted least squares, signal and image processing, principal component analysis, covariance and correlation matrices, directed and undirected graphs, matrix factorizations, neural nets, machine learning, and computations with large matrices.
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