2. The Loss Function

1. How wrong are we?

To learn, we must measure error. We use MSE (Mean Squared Error) for regression.

$$ L = \frac{1}{N} sum (y_{pred} - y_{true})^2 $$

2. The Landscape

Imagine a mountain range. The height is the Loss. Our goal: Find the lowest valley (Global Minimum).