Dear friends,

Welcome to the 47th issue of the Sunday Briefing.

We are happy to announce we had a nice discussion with Ben Lorica from the Data Exchange Podcast about our recent blog series on Epidemic Modeling: Computational Models and Simulations of Epidemic Infectious Diseases.  We are currently working on a couple of new posts that we'll be published in the near future. 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.

This week we continue our exploration of all things data science and machine learning. We take a deep dive into the intricacies of Forecasting s-curves (a topic that has become fashionable thanks to the current pandemic), a look at a relatively unknown Hungarian Statistician that created some visualization masterpieces, an in depth look at Interpretability by Fast Forward Labs and how to Monitor Machine Learning Models in Production 

On the academic front, we have the latest paper by Yoshua Bengios's group about a Trustworthy AI Development, a look at how Artificial intelligence is impacting clinicians,  an In-depth Walkthrough on Evolution of Neural Machine Translation, and an interesting discussion on the dangers posed by misinformation and how Social-media companies must deal with it.

Finally, on our video of the week, the good folks at Jane Street give us A Taste of GPU Compute. A power series of techniques that are often misunderstood and unduly ignored.

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Semper discentes,

The D4S team