Pattern Recognition

Pattern recognition is a branch of machine learning that focuses on identifying patterns and regularities in data. It involves the classification of input data into categories based on its features, which can include images, sounds, and text. Common techniques used in pattern recognition include neural networks, decision trees, and support vector machines. This technology is widely applied in various fields such as computer vision, speech recognition, and bioinformatics, enabling machines to automate tasks that require human-like perception and decision-making.