What is Machine Learning_

Machine learning is a subset of artificial intelligence (AI) that focuses on developing algorithms and models that enable computers to learn from data and make predictions or decisions without being explicitly programmed to perform specific tasks. In essence, it's about creating systems that can automatically learn and improve from experience. In machine learning, algorithms analyze large sets of data to identify patterns and make predictions or decisions based on those patterns. These algorithms can be categorized into supervised learning, unsupervised learning, semi-supervised learning, and reinforcement learning, each suited for different types of tasks. Supervised learning involves training a model on labeled data, where the desired output is known, to make predictions on new, unseen data. Unsupervised learning involves finding patterns or structures in unlabeled data without predefined outcomes. Semi-supervised learning combines both labeled and unlabeled data to improve learning accuracy. Reinforcement learning involves training an agent to make decisions by trial and error, receiving feedback on its actions. Machine learning finds applications in various fields, including computer vision, natural language processing, healthcare, finance, and more. It powers many everyday technologies and services, from recommendation systems on streaming platforms to autonomous vehicles.