Advancing Neurological Disease Prediction through Machine Learning Techniques

A study explores how AI and ML can improve early detection of neurological diseases, including Parkinson’s disease, ...
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 ...
technologynetworks

Random Forests, XGBoost, and Gradient Boosting in Biological Data Analysis

Random forest and gradient boosting algorithms, including XGBoost, have become dependable tools for analyzing biological data because they tolerate messy, mixed-type inputs without extensive ...