Fit a polynomial of degree D to N points by minimising the mean squared error. Now, start increasing D and look at the accuracy. The accuracy blows-up around D~N and starts improving *again* for D>>N 🙂
Actually took me a bit of time before making this polynomial regression work because I was being very naive with terribly ill-conditioned matrices. Recommended reading: