Lectures related to Singular Value Decomposition

Covers the process of diagonalizing matrices, focusing on symmetric matrices and the spectral theorem.

Covers the Singular Value Decomposition (SVD) of a matrix and its applications.

Covers Canonical Correlation Analysis, a method to find relationships between two sets of variables.

Covers Singular Value Decomposition, focusing on its application in image compression and data representation.