What is the difference between supervised and unsupervised learning?

Supervised learning uses labeled training data to learn a mapping from inputs to outputs, while unsupervised learning finds patterns in data without labels.\n\n• Supervised: Classification (spam detection), Regression (price prediction)\n• Unsupervised: Clustering (customer segmentation), Dimensionality reduction (PCA)\n• Semi-supervised: Combines both approaches with limited labeled data\n\nExample: Email classification (supervised) vs customer grouping (unsupervised). Choose based on available data labels and problem type.