Uncertainty (Aleatoric vs Epistemic) | Machine Learning

Machine/Deep learning models have been revolutionary in the last decade across a range of fields. However, sometimes we need to consider the uncertainty of models so we can gauge how confident the model is in its predictions. The total uncertainty in a prediction occurs from a combination of data (aleatoric) and model (epistemic) uncertainty. Check out the video to understand what these types of uncertainty mean and how the total uncertainty can be decomposed into these two terms.

Видео Uncertainty (Aleatoric vs Epistemic) | Machine Learning канала TwinEd Productions