Simple Probabilistic Inference in a Manufacturing Context

TL;DR This post applies probabilistic inference to a long-established mechanical engineering problem. If you don’t care much about theory and epistemology (how we got here), then just read The Problem and proceed to Fitting prior knowledge to a Beta distribution. If you are in a bigger rush, just read The Problem and open the model to figure it out.

How does one learn from data? With the explosion of data in so many business contexts, data science is no longer …

bayesian-statistics bayes-theorem context decision-analysis deep-dives inference manufacturing probability