Archives of #Models

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 […]

Visualising the internals of Logistic Regression on a Text Matrix

Below I have some plots that visualise the term matrix (as a binary matrix and as a TF-IDF matrix) for the brand disambiguation project followed by a visualisation of the coefficients used in scikit-learn’s LogisticRegression classifier using l1 and l2 penalties. Using a CountVectorizer with binary=True we can mark the absence or presence of a […]