Principal Component, Machine Learning, Artificial Intelligence, Linear Algebra, Data Science.
eigenthings — but here, it’s for nonsquare matrices as well. The purpose of the SVD is to find vectors and singular values that when multiplied, stay orthogonal. But that is not that important right now. In a few quick calculations, we’ll see why the SVD is often called in the code for figuring out