Supervised Learning
Domain: Data & Datasets
🎯 Motivation
Learning from labeled examples: input -> correct output. The model learns to map inputs to outputs.
📋 Concrete Example
Training: 10,000 emails labeled spam or ‘not spam.’ Model learns patterns. New email -> model predicts spam or ‘not spam.’ Supervised = with labeled examples.
🔗 Analogy
A student learning with answer keys - they see questions and correct answers, then learn to solve new questions. Supervised learning uses labeled examples.