Operator splitting is a powerful method for numerical investigation of complex models. The basic idea of the operator splitting methods based on splitting of complex problem into a sequence of simpler tasks, called split sub-problems. The sub operators are usually chosen with regard to different physical process. Then instead of the original problem, a sequence of sub-models is solved, which gives rise to a splitting error. In practice, splitting procedures are associated with different numerical methods for solving the sub-problems, which also causes a certain amount of error.
Machine Learning - A very short introduction
Machine Learning (ML) is a particular branch of a very broad discipline called Artificial Intelligence (AI). Whereas AI tries to solve the fundamental problem of "creating" a sentient or intelligent being from a silicon-based machine, or anything you could define as artificial in general, the problem with ML is somehow simpler.