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on 7/5/2013 9:51 PM
Besides having one of the coolest names around, Random Forest is an interesting machine learning algorithm, for a few reasons. It is applicable to a large range of classification problems, isn’t prone to over-fitting, can produce good quality metrics as a side-effect of the training process itself, and is very suitable for parallelization. For all these reasons, I thought it would be interesting to try it out in F#. The current implementation I will be discussing below works, but isn’t production ready (y[...]
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