The global shift toward digital banking has been dramatic, with the volume of cashless transactions increasing year over year. While this growth signals progress in financial technology, it has also ...

What is XGBoost? Gradient boosting is a machine learning algorithm that is used for classification and predictions. XGBoost is just an extreme type of gradient boosting.

Wastewater treatment is energy-intensive, with aeration and pumping among the largest cost drivers. The review details how AI ...

In an age where data drives decisions and automation defines excellence, the insurance industry stands at the cusp of a digital renaissance. At the ...

A gradient boosting machine model performed best among five machine learning models tested for predicting delirium, according to findings recently published in JAMA Network Open. “Existing ...

This article investigates a computationally simple variant of boosting, L₂Boost, which is constructed from a functional gradient descent algorithm with the L₂-loss function. Like other boosting ...

The Tweedie GLM is a widely used method for predicting insurance premiums. However, the structure of the logarithmic mean is restricted to a linear form in the Tweedie GLM, which can be too rigid for ...