Matrix scaling is a process used to adjust the rows and columns of a matrix so that they have specific properties, typically all row sums or column sums equal to a particular value. It has applications in various fields such as economics, statistics, and computer science, and is essential for improving the stability and accuracy of numerical algorithms.