Easiest Way to Understanding Singular Value Decomposition (SVD) with Python: numpy.linalg.svd
27:44
YouTubeDr. Data Science
Easiest Way to Understanding Singular Value Decomposition (SVD) with Python: numpy.linalg.svd
In this video, we explain an important matrix factorization technique, which is called Singular Value Decomposition or SVD for short. The idea is that we decompose a given matrix as a product of three matrices: left singular vectors, singular values, and right singular vectors. We explain the properties of these matrices and the decaying ...
15.3K viewsMay 3, 2021
Singular value decomposition SVD Applications
Lecture 6: Singular Value Decomposition (SVD) | Matrix Methods in Data Analysis, Signal Processing, and Machine Learning | Mathematics | MIT OpenCourseWare
Lecture 6: Singular Value Decomposition (SVD) | Matrix Methods in Data Analysis, Signal Processing, and Machine Learning | Mathematics | MIT OpenCourseWare
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Apr 1, 2022
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