Principal Component, Machine Learning, Artificial Intelligence, Linear Algebra, Data Science.
PCA. The first one involves creating a covariance matrix (if that makes you uncomfortable, don’t worry, I’ll explain it) and doing some eigen-calculations on it. The second involves the Singular Value Decomposition (SVD). Of course, if you’re more comfortable with either one of these intuitions,