Lectures related to SVD: Singular Value Decomposition

Covers Singular Value Decomposition and Pseudoinverse, explaining their applications in data compression and linear systems.

Covers the singular value decomposition theorem, explaining the construction of orthonormal bases and the matrix representation of the decomposition.

Covers matrix operations, focusing on the product and inverse of matrices.