Machine Learning, Calculus, Linear Algebra, Data Science, Deep Learning.
Eigendecomposition: Eigendecomposition is another crucial concept. Given a square matrix A, it can be decomposed into its eigenvalues (λ) and eigenvectors (v): Av= λv This is often employed in dimensionality reduction techniques like Principal Component Analysis (PCA). Derivatives and Gradient