Complexity theorists sort problems into categories, called complexity classes, based on the resource demands of the best algorithms for solving them — that is, the algorithms that run fastest or use ...

Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.