Matrices

When you first meet a matrix, it might look like nothing more than a neatly arranged grid of numbers. But don’t be fooled, this grid is one of the most powerful mathematical tools we have. In linear algebra, matrices take the role of both structure and operator. They store data, define systems, perform transformations, and enable optimization. In the world of ML, where we juggle massive datasets, train multi-layered models, and refine complex cost functions, matrices are absolutely everywhere.