Flood modeling in arid environments like Saudi Arabia is constrained by the absence of reliable hydrological datasets and ...

This study introduces a sophisticated supervised machine learning method for electric theft detection utilizing a customized histogram gradient boosting (HGB) algorithm. Comprehensive preprocessing, ...

Gradient boosting is an efficient and scalable supervised machine learning technique, and most scaling models based on gradient boosting perform well on point regression tasks, but they can only be ...

A common type of machine learning model that has managed to be extremely useful in data science competitions is a gradient boosting model. Gradient boosting is basically the process of converting weak ...

Defining Gradient Boosting This article aims to give you a good intuition for what gradient boosting is, without many breakdowns of the mathematics that underlie the algorithms. Once you have an ...