Interactively visualizing distributions in a Jupyter notebook with Bokeh

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 …

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Introduction to the Python Data Science Stack

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 …

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How to setup a new Python project

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 …

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Handling Big Data with Python

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 …

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