parametricity of learning algorithms

Non-Parametric Learning Algorithm

The memory usage of the algorithm grow linearly as a function of the size of the dataset \(n\).

Parametric Learning Algorithm

There’s a fixed set of parameters \(\theta_{i}\) that you learn once, which you then use to make predictions. You don’t need to keep the dataset around.