Rory Mitchell

Rory is a Machine Learning Engineer with the NVIDIA RAPIDS team. He is a contributing member of the Distributed Machine Learning Community (DMLC) and primary author of XGBoost’s GPU gradient boosting algorithms. Rory is completing his PhD in machine learning algorithms at the Computer Science Department, Waikato University, New Zealand.
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Posts by Rory Mitchell

Data Science

Bias Variance Decompositions using XGBoost

This blog dives into a theoretical machine learning concept called the bias variance decomposition. This decomposition is a method which examines the expected... 13 MIN READ
Gradient Boosting, Decision Trees, XGBoost
Simulation / Modeling / Design

Gradient Boosting, Decision Trees and XGBoost with CUDA

Gradient boosting is a powerful machine learning algorithm used to achieve state-of-the-art accuracy on a variety of tasks such as regression,... 17 MIN READ