Lectures related to Orthogonal Projection: Uniqueness and Properties

Explores characteristic polynomials, similarity of matrices, and eigenvalues in linear transformations.

Covers the Singular Value Decomposition theorem and its applications in practice.

Covers the basics of linear algebra, including matrix operations and singular value decomposition.

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