Linear Algebra

The determinant of matrix is a scalar value that can be computed from the elements of a square matrix. The […]

⚡ TL;DR: LU decomposition factors any square matrix $A$ into $L \cdot U$ (lower × upper triangular), enabling fast solutions

⚡ TL;DR: Eigenvectors and eigenvalues reveal the natural directions and scaling factors hidden inside any square matrix — they are

TL;DR: The rank of a matrix is the number of linearly independent rows or columns. To find it, reduce the

Vector Subtraction Vector subtraction is one of the fundamental operations you’ll use constantly in machine learning. Whether you’re calculating gradients

⚡ TL;DR: The transpose of a matrix flips rows and columns, denoted $A^T$. It’s essential for solving linear systems, computing