What is the difference between frequentist and Bayesian approaches to machine learning?

Question

Machine Learning — Hard

What is the difference between frequentist and Bayesian approaches to machine learning?

Accepted Answer

Frequentist methods view model parameters as fixed unknowns and make inferences from repeated sampling, while Bayesian methods treat parameters as random variables with prior distributions. This fundamental difference in parameter treatment guides the inference process in each approach.