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"# The Singular Value Decomposition (SVD)\n",
"\n",
"In this notebook we take a first look at one of the most important matrix decompositions, the SVD. The SVD gives what is arguably the \"best\" basis for the row and column spaces of a matrix, and reveals the \"true nature\" of a matrix in a unique way. It is heavily used in nearly all applications of linear algebra, especially to non-square matrices, especially for data analysis."
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