Data Science, Linear Algebra, Machine Learning.
along specific directions. In other words, eigenvalues represent the factor by which a vector’s magnitude changes when it is transformed by the matrix. Formally, for a square matrix A, a scalar value λ is an eigenvalue of A if there exists a non-zero vector v (eigenvector) such that: Av = λv In