Machine Learning (ML) is a branch of Artificial Intelligence that focuses on creating algorithms and models that allow computers to learn from data and improve their performance over time without being explicitly programmed for every task. Instead of following fixed instructions, ML systems analyze patterns, trends, and relationships within data to make predictions, classify information, or make decisions. The learning process can involve supervised methods, where the system learns from labeled data; unsupervised methods, where it identifies hidden structures in unlabeled data; or reinforcement learning, where it learns through trial and error by receiving feedback from its actions. Machine learning enables computers to adapt to new information, handle complex problems, and make intelligent decisions in dynamic environments.