Dear friends,

Welcome to the April 26th issue of the Sunday Briefing.

We are happy to announce the publication of the third post of the Epidemic Modeling series: "Epidemic Modeling 103: Adding confidence intervals and stochastic effects to your CoVID-19 Models". As always you can follow along with a GitHub repository containing the respective Python code. We hope you find it useful and gladly welcome any comments you might have.

In the regular content of the newsletter, we take a deep dive into Sorting Algorithms and Ensemble Modeling - Bagging. We also take a look at the Ray Ecosystem and Community and Facebook’s Misinformation Machine.

On the academic side, we consider Causal Inference and Data-Fusion in Econometrics, the Philosophy of Data and a Formal Hierarchy of RNN Architectures.

Finally, Andreas Mueller, one of the main developers of scikit-learn gives us a tour of Machine learning with what is probably the most popular ML library in Python.

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Semper discentes,

The D4S team