Eigenvectors, Eigenvalue, Data Science, Machine Learning, Principal Component.
means the transformed coordinates stay parallel and evenly spaced. When you see a vector multiplied by a matrix, you can think of it as moving that vector (a point in space) to land on a new point. The best way to understand all of this is visually which is why you should watch this video on