What is the difference between epistemic and aleatoric uncertainty in machine learning?

Question

Machine Learning — Hard

What is the difference between epistemic and aleatoric uncertainty in machine learning?

Accepted Answer

Epistemic uncertainty is reducible due to limited training data or model knowledge, while aleatoric uncertainty is inherent and irreducible, like sensor noise. This distinction helps in understanding the sources of uncertainty in machine learning models.