Why XGBoost and how is it different? XGBoost deploys a a gradient boosted decision tree algorithm. Russ Wolfinger, a SAS Distinguished Research Fellow, Kaggle Grandmaster, and longtime lead in the JMP Life Sciences division has created and refined a XGBoost add-in, which he demonstrates in the video below. This decision tree ensemble model is taking the world by storm (well, ok, that might be a bit of hyperbole, but come on!), winning Kaggle competitions and every so slowly, making its way into oil and gas. XGBoost is a (relatively) new machine learning protocol that is only beginning to be deployed in the Upstream Energy and Production industry. Speaker: Russ Wolfinger ( Distinguished Research Fellow Topics covered: XGBoost, Hyperparameters, machine learning
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