Understanding the derivative of the cost function is key to mastering logistic regression. Learn how gradient descent updates ...

A study conducted by experts from the University of the Philippines-Diliman showed that logistic regression is a reliable ...

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

According to a new study, machine learning can reliably identify patients at high risk of early dysphagia following acute ...

While the potential benefits of AI in obesity prevention are substantial, the study devotes significant attention to ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...

There is more than one way to describe a water molecule, especially when communicating with a machine learning (ML) model, says chemist Robert DiStasio. You can feed the algorithm the molecule's ...

The system generates daily forecasts of cargo tonnage, ULDs, and piece counts by flight, truck, customer, transport mode, and ...

During this symposium, leading international epileptologists discussed the key challenges and opportunities that currently ...

Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...