I 'm a big fan of Python for data analysis, but even I get curious about what else is available. R has long been the go-to ...

The advantage of Python is that you can apply operations to larger datasets with hundreds, even thousands, of data points ...

In this tutorial, we describe the iterative, data-based development and evaluation of an intersectionality-informed large language model designed to support patient teaching in this population.

Abstract: To consider model uncertainty in global Fréchet regression and improve density response prediction, we propose a frequentist model averaging method. The weights are chosen by minimizing a ...

We will build a Regression Language Model (RLM), a model that predicts continuous numerical values directly from text sequences in this coding implementation. Instead of classifying or generating text ...