Principal Component, Machine Learning, Artificial Intelligence, Linear Algebra, Data Science.
covariance matrix C, and see what happens when we set these vectors as our basis. We calculate our eigenvectors (which are orthogonal by default since we are dealing with symmetric matrices) and convert them to orthonormal by dividing by the length of the vectors. We can calculate the eigenvalues