How Machine Learning Uses Linear Algebra to Solve Data Problems

Machines or computers only understand numbers. And these numbers need to be represented and processed in a way that lets machines solve problems by learning from the data instead of learning from predefined instructions (as in the case of programming). Machine learning involves programming data to learn the function that best describes the data. The problem (or process) of finding the best parameters of a function using data is called model training in ML. Therefore, in a nutshell, machine learning is programming to optimize for the best possible solution – and we need math to understand how that problem is solved.