India Emerges as a Global Leader in Machine Learning-Enabled Scientific Research, New Report Finds

India has emerged as one of the world's most dynamic and rapidly advancing centers for machine learning (ML)-enabled scientific research, according to the newly released ML Global Impact Report 2025 ...
GitHub

lizhaohai369/fork-cleanlab-py

For TensorFlow/Keras, check out our Keras wrapper. Many libraries also already offer a special scikit-learn API, for example: XGBoost or LightGBM. cleanlab is useful across a wide variety of Machine ...
GitHub

XGBoost: eXtreme Gradient Boosting

An optimized general purpose gradient boosting library. The library is parallelized, and also provides an optimized distributed version. It implements machine learning algorithm under gradient ...
Devdiscourse

Explainable AI reveals hidden thresholds driving sudden urban water disasters

A recent study titled “Leveraging Explainable Artificial Intelligence for Place-Based and Quantitative Strategies in Urban ...
IEEE

A Hybrid XGBoost-MLP Approach for Predicting miRNA-Disease Associations

Abstract: The discovery of miRNA-disease connections is essential for furthering biomedical research since microRNAs (miRNAs) control gene expression and are linked to a wide range of disorders. This ...
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 ...
IEEE

Keyword Extraction Based on Random Forest and XGBoost - An Example of Fraud Judgment Document

Abstract: Fraud is a common crime and its constituent elements are extremely complex. In recent years, telecommunication fraud and Internet fraud are particularly frequent, and the government has ...