This is an important topic if we aim at extracting a probability distribution. This gives us also a confidence interval and error estimates.
Bayesian machine learning allows us to encode our prior beliefs about what those models should look like, independent of what the data tells us. This is especially useful when we don’t have a ton of data to confidently learn our model.
Video on Bayesian deep learningSee also the slides here.