Machine Learning, Python, Programming, Data Science, Editors Pick.
all. Let’s start with the boring case. If the matrix is squared (number of rows equals the number of columns) and it is invertible, meaning that the matrix A has full rank (all columns are linearly independent), that pretty solves the problem. If the matrix A is squared and invertible, the system