Regularization
Domain: AI Fundamentals
🎯 Motivation
Techniques that prevent overfitting by keeping the model simple or robust.
📋 Concrete Example
L2 regularization adds a penalty for large weights, encouraging the model to spread importance out.
🔗 Analogy
Like packing only essentials for a trip so you do not overpack and get slowed down.