December 28, 2019

How explainable AI fails and what to do about it

This article heavily relys on "Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead" by Cynthia Rudin and finally on some of my personal experiences. I will mainly focus on technical issues and leave out most of the governance and ethics related issues that derive from these. Read more

December 10, 2019

How the LIME algorithm fails

You maybe know the LIME algorithm from some of my earlier blog posts. It can be quite useful to “debug” data sets and understand machine learning models better. But LIME is fooled very easily.

November 24, 2019

Cluster discovery in german recipes

If you are dealing with a large collections of documents, you will often find yourself in the situation where you are looking for some structure and understanding what is contained in the documents. Here I’ll show you a convenient method for discovering and understanding clusters of text documents. Read more

April 7, 2019

Introduction to n-gram language models

You might have heard, that neural language models power a lot of the recent advances in natural language processing. Namely large models like Bert and GPT-2. But there is a fairly old approach to language modeling that is quite successful in a way. Read more


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