Bayesian networks are usually not the first choice for a data scientist trying to model a problem.
However - when encountering multiple categorical variables - they are often the best choice to make.
In this talk I explain what Bayesian networks are, how they operate, and why they succeed where common models - like neural nets or decision trees - fail.

Presented on hayaData 2021: https://www.youtube.com/watch?v=jJXbSy1i-PM