Eigenvectors, Eigenvalue, Data Science, Machine Learning, Principal Component.
vector in the positive y direction (0,1) (source) Every vector can be thought of as a recipe or linear combination of these ingredients or basis vectors: A vector (-5, 2) can be thought of -5 i_hats and 2 j_hats (source) Now why is this important for eigenvectors and their applications? Well we