Machine Learning (ML) is a subset of artificial intelligence that enables computers to learn from data and improve their performance without being explicitly programmed. It uses algorithms that can identify patterns, make decisions, and adapt over time. ML systems continuously evolve as they are exposed to new data, leading to more accurate results. This capability makes machine learning a powerful tool across various industries.

There are several types of machine learning, including supervised, unsupervised, and reinforcement learning. Supervised learning involves training a model on labeled data, while unsupervised learning discovers hidden patterns in unlabeled data. Reinforcement learning teaches models to make decisions through rewards and penalties. Each type has unique applications, from image recognition to game-playing AI.