Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...

A novel multi-task XGBoost model shows robust overall performance in predicting antimicrobial resistance in common gram-negative pathogens.

A machine learning model trained on EEG data from patients recovering from strokes helps predict how new patients will regain ...

Scientists have created an AI model that forecasts moderate heat stress—a major precursor to coral bleaching—at sites along ...

Scientists have created an AI model that forecasts moderate heat stress — a major precursor to coral bleaching — at sites ...

The UNLV Runnin' Rebels could knock off the Fresno State Bulldogs tonight, but it won't be easy.

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

Recent study reveals machine learning's potential in predicting the strength of carbonated recycled concrete, paving the way ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...