Dear friends,

Welcome to the June 28 edition of the Sunday Briefing, where we continue our celebration of the 1 year anniversary of this modest newsletter.

Our latest blog post in the CoVID-19 series is now available on the blog: CoVID-19: The first truly global event. In this post we take a look at the impact that CoVID-19 has in our lives, economies and societies. As always, you can follow along with the GitHub repository containing the respective Python code. We hope you find it useful and gladly welcome any comments you might have.

As we continue our celebration of our 1 year anniversary, we're also proud to announce a new webinar series on Advanced time series analysis, focusing on GARCH models. This is a follow up to our current webinar series on time series analysis that focuses on the ARIMA class models. If you're interested can already sign up for the first edition here. 

This week we cover an Introduction to Meta-Learning from Walmart Labs,  Facebook's announcement of Forecast – a community for crowdsourced predictions and collective insights and dive into a classic of visualization with W. E. B. Du Bois’s Modernist Data Visualizations of Black Life. Finally, we also have a collection of jupyter notebooks that accompany the 2nd edition of Machine Learning for Trading.

On the academic front, we look at changes in contact patterns shape the dynamics of the COVID-19 outbreak in China, what models can and cannot tell us about COVID-19 and a comprehensive review of Graph convolutional networks.

Finally, the video of the week Yann LeCun guides us through the connections between Deep Learning and Applied Math.

Data shows that the best way for a newsletter to grow is by word of mouth, so if you think one of your friends or colleagues would enjoy this newsletter, just go ahead and forward this email to them and help us spread the word!

Today, more than ever,
Semper discentes,

The D4S team