Gradient Descent finds the minima of cost function, by using the derivative of the cost function w.r.t parameters. Without applying Gradient Descent, we cannot train any model in Machine Learning.

Image Credit: vetre/Shutterstock.com Introduction Their findings highlight the eXtreme Gradient Boosting (XGBoost) algorithm as the best-performing ML model for these investigations.

A machine learning model may help predict mortality for hospitalized patients with cirrhosis at the time of admission, ...

Gradient boosting machines (GBMs) are a powerful ensemble learning technique that builds a model incrementally by combining weak models (typically decision trees) to form a strong predictive model.

Artificial intelligence and machine learning are transforming acute respiratory distress syndrome (ARDS) management, enabling earlier detection, precision risk stratification, and tailored therapies.

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 ...