Dear friends,

Welcome to the August 2nd edition of the Sunday Briefing. This weeks issue is filled up to the brim with exciting content.

This week we continue our exploration of Epidemic Models and their application to CoVID-19. Our latest post in this series  looks at Network Structure, Super-Spreaders and Contact Tracing.  As always, all the code is available in our Epidemiology101 GitHub repository. You can also run the code directly in the cloud with Binder. Our Causal Inference journey is currently on hiatus, but you can catch up on our latest post where we dive into Structural Causal Models, the fundamental concept we'll build on going for the rest of the book. We hope you find our blog posts useful and continue look forward to your insightful comments. 

In our regularly scheduled content, we introduce Darts a time series package for Python, and take a deep dive into Deep Learning with posts on How to derive convolution from first principles, Deep Learning's Most Important Ideas, an introduction to Generative Adversarial Networks and a list of Must-read papers on GNN.

On the academic front, we look at Epidemics as an adaptive driving force determining lifespan setpoints, how we can Map socioeconomic indicators using social media advertising data and consider the unreasonable effectiveness of CNNs.

Finally, the video of the week, Robert Meyer shows us how to Analyse user comments with Doc2Vec and Machine Learning classification in his PyData Berlin talk.

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Today, more than ever,
Semper discentes,

The D4S team