Linear Algebra, Machine Learning, Data Science, Mathematics, Math For Data Science.
eigenvalues, eigenvectors, linear regression, principal component analysis, or neural networks. Vector and Matrix representations organize data for cleaning, visualization, exploration, and modeling preparation tasks. Like PCA, Eigenvector algorithms compress data and discover significant patterns.