Visual Studio Magazine

Gradient Boosting Regression Using C#

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the gradient boosting regression technique, where the goal is to predict a single numeric value. Compared to ...
Nature

Interpretable machine learning for predicting sepsis risk in emergency triage patients

Despite global advances in sepsis management, early identification and treatment of sepsis remain critical challenges in emergency medicine, with persistently high morbidity and mortality rates. The ...
Insurance Business America

Inside the AI modeling race reshaping catastrophe risk

The actuarial methodology powering insurance risk models is advancing faster than most carriers realize. Here is what is ...
BMJ

Machine learning approaches to injury risk prediction in sport: a scoping review with evidence synthesis

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
lse

Beyond average: A new approach to multicalibration brings group fairness to web scale

John Barlow and Daniel Titherington introduce MCGrad (MultiCalibration Gradient Boosting), a powerful machine learning algorithm developed by researchers at Meta and Professor Milan Vojnovic that ...
Visual Studio Magazine

Gradient Boosting Regression Using C#

A machine learning gradient boosting regression system, also called a gradient boosting machine (GBM), predicts a single numeric value. A GBM is an ensemble (collection) of simple decision tree ...