What are the different types of machine learning, and how do they differ?

There are primarily three types of machine learning: supervised learning, unsupervised learning, and reinforcement learning. Supervised learning relies on labeled data to train models to make predictions or classifications. Unsupervised learning, on the other hand, deals with unlabeled data and aims to find hidden patterns or intrinsic structures, such as clustering. Reinforcement learning is a paradigm where an agent learns to make decisions by performing actions in an environment to maximize a cumulative reward, guided by feedback from its actions.