Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
Lecture
Singular Value Decomposition: Matrices Transformation
Description
This lecture covers the Singular Value Decomposition (SVD) of matrices, explaining how any matrix can be decomposed into a sum of matrices using its eigenvalues and eigenvectors. The lecture details the process of transforming vectors through matrices, illustrating the concept with examples and discussing the implications of SVD in matrix operations.
Official source
About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.