Archive of month: July 2013

Some Natural Language Processing and ML Papers

After I spoke at DataScienceLondon in June I was given a set of paper references by a couple of people (the bulk were by Levente Török) – thanks to all. They’re listed below. Along the same lines I have one machine learning paper aimed at beginners to recommend (“A Few Useful Things to Know about […]

Overfitting with a Decision Tree

Below is a plot of Training versus Testing errors using a Precision metric (actually 1.0-precision, so lower is better) that shows how easy it is to over-fit a decision tree to the detriment of generalisation. It is important to check that a classifier isn’t overfitting to the training data such that it is just learning […]