In linear algebra, the Singular Value Decomposition (SVD) of a matrix is a factorization of that matrix into three matrices. It has some interesting algebraic properties and conveys important geometrical and theoretical insights about linear transformations. #MachineLearning #SVD #DimensionalityReduction
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Watch video Machine Learning | Singular Value Decomposition (with mathematical equations and examples) online without registration, duration hours minute second in high quality. This video was added by user RANJI RAJ 07 March 2020, don't forget to share it with your friends and acquaintances, it has been viewed on our site 173,754 once and liked it 2.5 thousand people.