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Lecture
Singular Value Decomposition, Pseudoinverse
Description
This lecture covers the concepts of Singular Value Decomposition (SVD) and Pseudoinverse, explaining the mathematical definitions and properties. It delves into the applications of SVD in data compression, noise reduction, and solving linear systems. The instructor demonstrates the calculation of SVD and Pseudoinverse matrices, emphasizing their importance in various fields such as image processing and machine learning.
Official source
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