What is the difference between parametric and non-parametric models?

Parametric models assume a fixed number of parameters; non-parametric models grow with data.

Parametric models like linear regression assume a fixed functional form, making them faster but less flexible. Non-parametric models like k-NN and decision trees adapt complexity based on data size, offering flexibility at the cost of computation.