If you are doing probabilistic programming you are dealing with all kinds of different distributions. That means choosing an ensemble of right distributions which describe the underlying real-world process in a suitable way but also choosing the right parameters for prior distributions. At that point I often start visualizing the …

Often I get the question as a Data Scientist what the Python Data Science Stack actually is and where a beginner should start to learn. The Python ecosystem, especially around the topics such as data analytics, data mining, data science and machine learning is so vast and rich that it …

In this presentation given at the EuroPython 2015 in Bilbao, I show how the hangups library can be used in order to write a small chatbot that connects to Google Hangouts and reminds you or someone else to take his/her medication. The secure and recommended OAuth2 protocol is used …

Scikit-Learn is a well-known and popular framework for machine learning that is used by Data Scientists all over the world. In this tutorial presented at the EuroPython 2014 in Berlin, I show in a practical way how you can add your own estimator following the interfaces of Scikit-Learn. First a …

In this presentation held at the EuroPython 2014 in Berlin, my colleague Felix Wick demonstrates that setting up a new Python project from scratch can be quite complicated. Especially, structuring your files and directories the right way in order to build a Python package. Thereby, questions are addressed like “Where …

The talk presented at the PyCon 2013 in Cologne gives a small introduction of how Blue Yonder applies machine learning and Predictive Analytics in various fields as well as the challenges of Big Data. Using the example of Blue Yonder’s machine learning software NeuroBayes, I show the made efforts …