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 ...
InfoWorld

Time series forecasting with XGBoost and InfluxDB

XGBoost is a popular open source machine learning library that can be used to solve all kinds of prediction problems. Here’s how to use XGBoost with InfluxDB. XGBoost is an open source machine ...
生物通

通过极端梯度提升（Extreme Gradient Boosting, XGBoost）和敏感性分析，利用 ...

碳点增强环氧树脂微钻削工艺优化及可解释AI框架研究，采用XGBoost回归建模与EFAST敏感性分析，确定工具直径和纳米填料含量为关键因素，多目标优化后复合可接受性达0.971，验证了AI框架的有效性。 本文提出了一种可解释的人工智能框架，该框架利用极端梯度 ...
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 ...
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 ...
TechCrunch

Yandex open sources CatBoost, a gradient boosting machine learning library

Artificial intelligence is now powering a growing number of computing functions, and today the developer community today is getting another AI boost, courtesy of Yandex. Today, the Russian search ...