But a machine learning algorithm figures out the rules for itself via trial and error, gauging its success on goals the programmer has specified. The goal could be a list of examples to imitate, a game score to increase, or anything else. As the AI tries to reach this goal, it can discover rules and correlations that the programmer didn’t even know existed. Programming an AI is almost more like teaching a child than programming a computer.
