Rory Mitchell – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2022-10-10T18:49:29Z http://www.open-lab.net/blog/feed/ Rory Mitchell <![CDATA[Bias Variance Decompositions using XGBoost]]> http://www.open-lab.net/blog/?p=14960 2022-08-21T23:39:31Z 2019-06-26T17:00:54Z This blog dives into a theoretical machine learning concept called the bias variance decomposition. This decomposition is a method which examines the expected...]]>

This blog dives into a theoretical machine learning concept called the bias variance decomposition. This decomposition is a method which examines the expected generalization error for a given learning algorithm and a given data source. This helps us understand questions like: Generalization concerns overfitting, or the ability of a model learned on training data to provide effective…

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]]> 0 Rory Mitchell <![CDATA[Gradient Boosting, Decision Trees and XGBoost with CUDA]]> http://www.open-lab.net/blog/parallelforall/?p=8335 2022-10-10T18:49:29Z 2017-09-12T04:50:07Z Gradient boosting is a powerful machine learning algorithm used to achieve state-of-the-art accuracy on a variety of tasks such as regression,...]]>

Gradient boosting is a powerful machine learning algorithm used to achieve state-of-the-art accuracy on a variety of tasks such as regression, classification and ranking. It has achieved notice in machine learning competitions in recent years by “winning practically every competition in the structured data category”. If you don’t use deep neural networks for your problem, there is a good chance…

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