Eigenvectors, Eigenvalue, Data Science, Machine Learning, Principal Component.
matrix as a linear transformation is useful for visualizing eigenvectors, a matrix is just a representation of data such as: tabular data with features and samples, an image, a graph’s adjacency matrix, etc. And so eigenvectors represent important information about the data, where the rest of whats