Loss Function
Domain: AI Fundamentals
🎯 Motivation
Measures how wrong the predictions are. Training tries to make this number as small as possible.
📋 Concrete Example
Mean squared error: average of (prediction - true value) squared across examples.
🔗 Analogy
Like a scoreboard that shows your mistakes - the lower the score, the better you are doing.