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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Paula Eerola, coordinating Finnish physics research at CERN

I publish here my interview to Paula Eerola, which was originally published on the blog of our local network of women in science, Kumpula Women's Network. Since January 1st, 2016, the Helsinki Institute of Physics has a new appointed director, Prof. Paula Eerola from University of Helsinki. Paula is the 4th director of the Institute since its start of […]

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Science Slam Helsinki 2015: a triumph for Inverse Problems

Last November I attended a fun event here in Helsinki: a sort of mix between science and stand-up comedy called Science Slam Helsinki. A Science Slam is a form of science communication to general audience. Each scientist gives a short talk (10-15 mins) to popularise science. Often such events are held in non-academic places, like pubs. Science […]

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