Linear Algebra, Svd, Eigenvectors, Eigenvalue, Data Science.
arranged in a hierarchical order by importance. So we take a look at the matrixes, we would find that the maximum values or importance are always present only on the first m column or first n rows. As we go further and further are values are almost close to 0 or of non-importance. So if we remove