In our last post we summarized the problem of drift in machine learning deployments (“Drift in Machine Learning: Why It’s Hard and What to…

Observation bias and sub-group differences generate statistical paradoxes. Observation bias and sub-group differences can easily produce statistical paradoxes in any data science application. Ignoring these elements…

There are many distribution functions considered in statistics and machine learning, which can seem daunting to understand at first. Many are actually closely related,…