It was October 8, 2025. While I was studying a book on linear regression with ChatGPT... "I want to write a blog post, ChatGPT said, and it presented this manuscript. Please take a look at ChatGPT's ...

Empowered by technological progress, sports teams and bookmakers strive to understand relationships between player and team activity and match outcomes. For this purpose, the probability of an event ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Coal-based electricity production in the United States has ...

The quality of radiotherapy auto-segmentation training data, primarily derived from clinician observers, is of utmost importance. However, the factors influencing the quality of clinician-derived ...

pymc-learn is a library for practical probabilistic machine learning in Python. The difference between the two models is that pymc-learn estimates model parameters using Bayesian inference algorithms ...

This repository contains Python/PyMC3 code for a selection of models and figures from the book 'Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan', Second Edition, by John Kruschke (2015 ...