A small guide to Random Forest - part 2

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This is the second part of a simple and brief guide to the Random Forest algorithm and its implementation in R. If you missed Part I, you can find it here. randomForest in R R has a package called randomForest which contains a randomForest function. If you want to explore in depth this implementation, I […]

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A small guide to Random Forest - part 1

I've recently started playing with Kaggle and got curious about one of the most famous classification/regression framework, Random Forest. In a problem of classification or regression, several random decision trees (a "forest") are built and at the end the outputs are combined ("bagging"). The intuition is that randomness and a meaningful quantity of trees will avoid […]

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Women in Mathematics in Finland: Amal Attouchi

As promised, the series of lectures continues, after the inaugural event hosted by the Department of Mathematics and Statistics of University of Helsinki. This time I'll travel to University of Jyväskylä and the guest speaker will be Amal Attouchi, local postdoctoral researcher. Amal graduated in 2014 at Université Paris XIII, with a thesis on PDEs titled […]

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