Dear friends,

Welcome to the May 17th edition of the Sunday Briefing.

This week we took a small detour from our ongoing series on Epidemic Modeling to take 10,000 view of the entire pandemic and define the most common terms and concepts in our latest blog post: CoVID-19: Everything you need to know. You can think of this post as background information to better understand the Epidemic Modeling series and how it applies to CoVID-19.

In our regular content, we explore Bayesian Optimization, the fundamental of Python Style and the difficulties in creating effective predictive models. On the visualization front, we take a look at some best practices on visualising probabilities and a short history of color theory

From the academic ivory tower, we have an explanation of Transitivity and degree assortativity in networks, an analysis of the Human Mobility in Response to COVID-19 in France, Italy and UK and a deep dive on Machine Learning on Graphs, two of our favorite subjects.

Finally,  Gilbert Strang from MIT guides us through Singular Values and Singular Vectors, the last in a series of videos taking a new look at classical Linear Algebra. We wholeheartedly suggest you watch the entire series.

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Semper discentes,

The D4S team