Machine learning is basically teaching computers to solve big problems based on either example data or past experiences. Example data, is purely unlabeled, with unknown and undetected structure. Your power would rely on you guessing the hidden structure which ultimately leads in you learning more about it. Using technical terminologies, unsupervised learning best describes the latter. Past experiences on the other hand, is real data with clear labels and answers to the question you are trying to answer.