Dear friends,

Welcome to the August 22nd issue of the Sunday Briefing. 

This week we're taking a break from blogging, but you can check out the latest post on the Causal Inference journey where we cover Chains and Forks and work your way through the code available in the Causality GitHub or run it directly in the cloud with Binder. The latest post in the Epidemiology 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. We hope you find our blog posts useful and continue look forward to your insightful comments. 

The preparations for the the very first edition of the Transforming Excel Analysis into Python and pandas Data Models webinar coming up on Sept 3rd have been ramping up over the past few days with lots of new and exciting content. You can already register for it!

We continue our partnership with the wonderful people over at Data Umbrella and highlight their next online event on Aug 25:  Create Nimble Data Collection + Reporting Processes . Not to be missed! 

In our regularly scheduled content, we take a provocative look at Blockchain, the amazing solution for almost nothing and 9 useful tricks of git branch. Since we're getting close to election season in the US, we share  the code underlying The Economist's State and national presidential election forecasting model.  Finally, Amazon's Machine Learning University has decided to make its courses publicly available online and fast.ai has an interesting discussion on Practical Data Ethics.

On the academic front, we dive into a data science approach to 138 years of congressional speeches, Filtering Statistics on Networks and Trust and Medical AI. We also share an overview of  Coupling Functions in Neuroscience and Stochastic Bayesian Neural Networks.

Finally, the video of the week, Alex Hanna from Google introduces us to some recent work on Responsible AI Practices and Fairness in ML.

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Semper discentes,

The D4S team