Unsupervised learning is a machine learning approach in which a model finds patterns in data that has no labels. Nobody tells the algorithm what the “right answer” is. It looks for structure on its own: natural groups, unusual points, items that occur together, or simpler ways to describe complex data. Most real-world data is unlabeled,…

Supervised learning is a machine learning approach in which a model learns from examples that already include the correct answer. Each training example pairs an input (an email, a photo, or a row of customer data) with a label (spam, “golden retriever,” or $412,000). The model studies many of these pairs, learns the relationship between inputs…