# Optimization and Gradient Descent

Learn about the fundamental algorithm behind machine learning training: gradient descent.

In our 2D example, the loss function can be thought of as a parabolic-shaped function that reaches its minimum on a certain pair of $w_1$ and $w_2$. Visually, we have:

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