The Dataiku Blog

Jean-Yves Gérardy

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Recent Posts

Donald Trump, Hillary Clinton, and Non-Negative Matrix Factorization

This tutorial will show how (at a very high level) Non-negative Matrix Factorization(NMF) applied to a matrix of Term Frequency-Inverse Document Frequency (TF-IDF) can be used to extract topics...

data science, tutorial, natural language processing | November 06, 2016 | Jean-Yves Gérardy

Using Markov Chains with Backoff to Generate Trump and Clinton Quotes

With the US election around the corner, I thought it would be both informative and fun to explore a few topics in Natural Language Processing (NLP).

In this post, I will go over the workings of a...

data science, machine learning, markov chains | October 07, 2016 | Jean-Yves Gérardy
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