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 ...

The teaching and learning of probability have emerged as a pivotal subject in educational research, reflecting its broad application in risk assessment, decision‐making and scientific inquiry.