What is pattern recognition and why is it important in Machine Learning?

Pattern recognition is the ability to identify regularities, trends, or structures in data that can be used to make predictions or classifications.\n\n• Definition: Finding recurring themes or relationships in information\n• Importance: Basis for making predictions and automated decisions\n• Types: Visual patterns, behavioral patterns, statistical patterns\n• Applications: Image recognition, fraud detection, market analysis\n\nExample: Email spam detection recognizes patterns like certain sender domains, suspicious keywords, or unusual formatting. Medical diagnosis finds patterns in symptoms, test results, and patient history to identify diseases.