The majority of epidemiological studies are exercises in measurement; i.e., we try to estimate as accurately as we can some potential (possibly causal) association between an exposure and an outcome.

The key idea behind the probabilistic framework to machine learning is that learning can be thought of as inferring plausible models to explain observed data. A machine can use such models to make ...