[MMD]··15min
Linear Algebra Basics Chapter 4: Eigenvalues, Eigenvectors, and PCA
Wrap up the core of linear algebra: geometric interpretation of determinants, basis and span, eigenvalue/eigenvector computation, how PCA works under the hood with full derivations, and Markov matrices.
#Linear Algebra#Machine Learning#Eigenvalue#PCA#Dimensionality Reduction