In XGBoost 1.0, we introduced a new official Dask interface to support efficient distributed training. Fast-forwarding to XGBoost 1.4, the interface is now… 11 MIN READ

At GTC 21, AWS shared how the combination of AutoGluon, RAPIDS, and NVIDIA GPU computing simplifies achieving state-of-the-art ML accuracy… 16 MIN READ

This is the second post in a series that will discuss the results from an air pollution monitoring use case conducted during the COVID-19 pandemic… 6 MIN READ

Over the past couple of years, NVIDIA and NASA have been working closely on accelerating data science workflows using RAPIDS and integrating these GPU… 7 MIN READ

Machine learning (ML) can extract deep, complex insights out of data to help make decisions. In many cases, using more advanced models delivers real business… 16 MIN READ

XGBoost is a widely used machine learning library, which uses gradient boosting techniques to incrementally build a better model during the training phase by… 13 MIN READ