Bayesian modeling offers a transparent alternative to traditional machine learning approaches, allowing for deeper insights into data. Unlike black box models, Bayesian methods enable customization and understanding, making them particularly valuable for applied business problems. By using probability distributions as building blocks, one can tailor models to specific challenges, akin to constructing with Lego.
