Machine Learning, Artificial Intelligence, Mathematics.
addition, the covariance matrices that we often use in ML are in this form. Since they are symmetric, we can choose its eigenvectors to be orthonormal (perpendicular to each other with unit length) — this is a fundamental property for symmetric matrices. Let’s introduce some terms that frequently