Posts Tagged ‘ ensemble methods ’

Ensemble Methods are Doomed to Fail in High Dimensions

March 15, 2017
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Ensemble Methods are Doomed to Fail in High Dimensions

Ensemble methods By ensemble methods, I (Bob, not Andrew) mean approaches that scatter points in parameter space and then make moves by inteprolating or extrapolating among subsets of them. Two prominent examples are: Ter Braak’s differential evolution   Goodman and Weare’s walkers There are extensions and computer implementations of these algorithms. For example, the Python […] The post Ensemble Methods are Doomed to Fail in High Dimensions appeared first on…

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Free gradient boosting lecture

November 21, 2015
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We have always regretted that we didn’t get to cover gradient boosting in Practical Data Science with R (Manning 2014). To try make up for that we are sharing (for free) our GBM lecture from our (paid) video course Introduction to Data Science. (link, all support material here). Please help us get the word out … Continue reading Free gradient boosting lecture

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