Yes, we have many choices of software packages for linear algebra now. But the matrix factorization concept is kind of important. About ten years ago, a 1M dollar price award on the recommender system is awarded to an ATT team using a matrix factorization method. The original Google PageRank is kind of related to eigendecomposition. Even this is a while back, ML brings back this discussion so we understand how some feature extraction, some recommender system works, etc.