Pattern Recognition

Pattern Recognition involves the classification and identification of patterns and regularities in data through the use of machine learning algorithms. It combines feature extraction, clustering, and classification techniques to detect meaningful patterns. Modern approaches often use machine learning to learn complex pattern representations from data, enabling systems to recognize familiar patterns and make predictions based on input data.

Facial recognition (identifying people in images) speech recognition (transcribing spoken words) handwriting recognition (digitizing handwritten text) biometric identification (fingerprint or iris scanning).