matrices

mathematics often involves working with matrices.

we can represent data using multiple matrices.

in computer graphics, matrices are used for transformations.

solving systems of equations often requires manipulating matrices.

we learned how to add and subtract matrices in class.

eigenvalues and eigenvectors are important concepts in matrix theory.

in machine learning, we often use matrices to represent features.

matrix multiplication is not commutative.

we can find the inverse of a matrix if it is non-singular.

applications of matrices include computer graphics and physics simulations.