Essential Math, Data Science, Machine Learning, Deep Learning, Mathematics.
Principal Component Analysis (PCA). The main idea is to consider the eigendecomposition of a matrix A as a change of basis where the new basis vectors are the eigenvectors. Eigenvectors and Eigenvalues As you can see in Chapter 7 of Essential Math for Data Science you can consider matrices as