Data Science, Linear Algebra, Machine Learning.
this equation, v is the eigenvector corresponding to the eigenvalue λ. Eigenvalues are crucial in a variety of applications: Principal Component Analysis (PCA): Eigenvalues are used to determine the principal components (directions of maximum variance) in multivariate data analysis. Spectral