How NVIDIA Uses CatBoost

This article provides insights into GPU-accelerating machine learning model training using CUDA-X Data Science, focusing on tree-based models like XGBoost, LightGBM, and CatBoost.

The article presents a comprehensive playbook developed through extensive experience in Kaggle competitions, detailing seven effective modeling techniques for handling tabular data.

The article discusses advancements in AutoML using NVIDIA GPUs and RAPIDS, highlighting how AutoGluon simplifies the process of achieving state-of-the-art machine learning accuracy while significan...

This article provides an in-depth look at how to leverage machine learning techniques to detect fraud, specifically through the lens of the Kaggle IEEE CIS Fraud Detection competition.