Linear Algebra, Eigenvalue, Eigenvectors.
the fields of data science and machine learning, eigenvalues and eigenvectors are used for dimensionality reduction and feature extraction. Principal Component Analysis (PCA) is a prime example, where eigenvalues and eigenvectors of a data covariance matrix are used to identify the most significant