Machine Learning

Machine Learning is a subset of artificial intelligence (AI) that focuses on the development of algorithms and statistical models that enable computers to perform tasks without explicit programming. Instead, these systems learn from and make predictions or decisions based on data. The primary goal of machine learning is to allow machines to improve their performance on a specific task through experience, typically by identifying patterns or structures within large datasets. Machine learning is divided into several categories, including supervised learning, where models are trained on labeled data, unsupervised learning, which involves finding hidden patterns in unlabeled data, and reinforcement learning, where agents learn to make decisions through trial and error to maximize rewards. Its applications are widespread, spanning fields such as finance, healthcare, marketing, and natural language processing.