Pattern Recognition

Pattern Recognition is a branch of artificial intelligence and machine learning that focuses on identifying and classifying regularities or structures within data. It involves training algorithms to recognize patterns—such as shapes, sequences, behaviors, or anomalies—in various data types, including text, images, audio, and numerical datasets. Common techniques include statistical analysis, neural networks, and deep learning models. Pattern recognition is widely used in applications such as facial recognition, speech processing, fraud detection, medical diagnostics, and predictive maintenance. By enabling systems to detect trends and make informed decisions, it plays a critical role in automating and enhancing data-driven tasks.