Machine Learning

Machine Learning is a subset of artificial intelligence that enables systems to learn from data and improve their performance on a specific task without being explicitly programmed. It involves developing algorithms that can recognize patterns, make decisions, and predict outcomes based on input data. Machine Learning techniques can be divided into three main categories: supervised learning, unsupervised learning, and reinforcement learning. In supervised learning, models are trained on labeled data, where the desired output is known. In unsupervised learning, models discover patterns or groupings in data without labeled outputs. Reinforcement learning focuses on training models to make a sequence of decisions by rewarding desired behaviors and penalizing undesired ones. Machine Learning is widely used in various applications, such as image and speech recognition, natural language processing, recommendation systems, and predictive analytics.