# Q18 – Regularization

Show that L2 regularization applied to a linear regression with weights $\boldsymbol{w}$, input data $\boldsymbol{x}$ and targets $\boldsymbol{y}$ with mean squared error loss function corresponds to assuming a Gaussian prior over the weights.