Eigenvectors, Eigenvalue, Data Science, Machine Learning, Principal Component.
a matrix can be thought of as compression. Knowing the underlying structure of a matrix allows you to remove less meaningful elements and still approximately reconstruct it. In this way understanding == compression. For example, if we have a diagonalizable matrix, we can apply eigendecomposition.