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Dear friends, Welcome to the mid-August issue of the Sunday Briefing. We're proud to announce the latest in our string of new webinars. This new course will continue the exploration of Causal Inference that we've been working through on the blog while diving a bit deeper in some aspects with practical examples and highlighting connections to the broader field of Machine Learning. If you're interested can already sign up for the first edition occurring on Oct 16. The latest post on our Causal Inference journey is now out and it dives into Chapter 2 with a look at Chains and Forks, two common motifs in Graphical models and explores their consequences.

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.

Dear friends, Welcome to the July 19th edition of the Sunday Briefing. This week we have exciting news on our blog. We just published the third installment of the Causal Inference Series, where we lay the foundations of Graph Theory that we'll need going forward. We hope you find it useful and look forward to your insightful comments. This new post resulted in an interesting Twitter discussion with Judea Pearl himself!

Dear friends, Welcome to the 4th of July weekend edition of the Sunday Briefing. This week we're on hiatus from blogging but you can check out our latest blog post in the CoVID-19 series 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.

Dear friends, Welcome to the March 15 edition of the Sunday Briefing. This week we take advantage of the increased world wide attention on the current SARS-CoV-2 pandemic and take a deep look at how we might soon be looking at 1 Million Infected Americans, how we can strengthen the use of models during epidemics, and at The effect of travel restrictions. In addition, we also take another look at Simpson's Paradox, Data Trees, a new dataset on grocery purchases in London, analyze how to uncover patterns in high dimensional time series, have an overview of Causal Interpretability for ML and Deep Reinforcement Learning For Trading. Finally, in our video of the week, the good folks over at 3Blue1Brown give us an excellent overview of Exponential growth and epidemics to help us to better interpret the numbers we see in the news. 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!

Dear friends, Welcome to the fortieth edition of the Sunday Briefing. Just a dozen more before we can celebrate our first anniversary! This week we shift gears slightly to look more deeply at an often overlooked skill in your data science toolkit, visualization. We start with an overview on how to produce good and informative maps in ArcGIS latest blog post, Mapping coronavirus, responsibly a look at Sorting Networks and other more Unique Visualizations and a finally framework for Data visualization literacy. We also have some mathematics book recommendations for the adventurous self-learner, a survey of Mobility Analyses, a look at the Emerging Landscape of Explainable AI and answer the age old question of How To Avoid Being Eaten By a Grue in an academic paper analysis exploration strategies.