1. https://en.wikipedia.org/wiki/Singular_value_decomposition#A...
of which the "Low-rank matrix approximation" is the most important one (it's like looking inside the matrix, seeing its significant components, and zeroing out the remaining ones to save space). See also PCA in statistics.