Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what ...

Causal inference with observational data frequently relies on the notion of the propensity score (PS) to adjust treatment comparisons for observed confounding factors. As decisions in the era of "big ...

I think everybody knows that if you click on a variable, method, or property name and press F12 (or select Go To Definition from the pop-up menu) you'll be taken to the method or property's code or to ...