How does machine learning differ from traditional programming paradigms, and what are its practical applications?

Machine learning algorithms learn from data to make predictions or decisions without being explicitly programmed. Unlike traditional programming, which follows predefined rules, machine learning adapts and improves over time based on feedback. Practical applications include predictive analytics, pattern recognition, and natural language processing.