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PACE Tech Talk Tomorrow Nov 14th

Dean Abbott of Abbott Analytics presents model ensembles and will walk through the history of model ensembles in machine learning and predictive analytics, including Bagging, Boosting, Random Forests, Stochastic Gradient Boosting, and heterogenous ensembles. While ensembles appear to be more complex than individual models, thus violating Occams Razor, this talk will explain how to unravel the apparent contradiction. Real-world examples of the application of model ensembles will be provided throughout the talk.

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