In linear algebra, a symmetric matrix is defined as the square matrix that is equal to its transpose matrix.

The transpose matrix of any given matrix A can be given as A^T.

A symmetric matrix A therefore satisfies the condition, A = A^T.

Among all the different kinds of matrices, symmetric matrices are one of the most important ones that are used widely in machine learning.