DEVELOPER BLOG

Tag: XGBoost

Data Science

Accelerating XGBoost on GPU Clusters with Dask

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
Data Science

Advancing the State of the Art in AutoML, Now 10x Faster with NVIDIA GPUs and RAPIDS

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
Data Science

NASA and NVIDIA Collaborate to Accelerate Scientific Data Science Use Cases, Part 2

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
Data Science

NASA and NVIDIA Collaborate to Accelerate Scientific Data Science Use Cases, Part 1

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
Data Science

Explaining and Accelerating Machine Learning for Loan Delinquencies

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
AI / Deep Learning

Learning to Rank with XGBoost and GPU

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