Supervised learning in disguise: the truth about unsupervised learning

One of the first lessons you'll receive in machine learning is that there are two broad categories: supervised and unsupervised learning. Supervised learning is usually explained as the one to which you provide the correct answers, training data, and the machine learns the patterns to apply to new data. Unsupervised learning is (apparently) where the machine figures out the correct answer on its own. Supposedly, unsupervised learning can discover something new that has not been found in the data before. Supervised learning cannot do that.