Eigenvectors, Eigenvalue, Data Science, Machine Learning, Principal Component.
going on is a sort of “noise”. Importantly, if you think about a matrix as describing a rotating, irregular and high-dimensional shape (noisy, confusing, complex) then the leading eigenvector (the one associated with the largest eigenvalue) describes the most meaningful axis or direction of this