October 25, 2020

Dear friends,
Welcome to the October 18 issue of the Sunday Briefing.

We’re currently on hiatus from blogging, but you can enjoy our latest post from the Causality series, where we dive into Chapter 3 of the Primer to learn more about Interventions, the way in which we modify the values of the variables in our model to simulate a Randomized Controled Trial. As always, all the relevant code can be found in GitHub. On the Epidemic Modeling front, you can also checkout the latest blog post where we go over the basics of Network Structure, Superspreaders and Contact Tracing.

We’re also happy to announce the free Data Science and Machine Learning At Scale webinar on October 27, organized by our good friends at Data Umbrella. Register now and don’t miss it!

This week we have some Fun with Lambda Calculus and Structural Time Series, we analyze How 30 Lines of Code Blew Up a 27-Ton Generator and learn more about A Programmer’s Intuition for Matrix Multiplication

On the academic front, we consider why COVID outbreaks look set to worsen this winter, get a brief Introduction on the Basics of Game Theory and dive into ‘Less Than One’-Shot Learning a new approach to machine learning that might hold the keys to some major developments in coming years.

Finaly, we learn How to improve Machine Learning and Data Science performance using Intel Python in the video of the week by ARC Academy.

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 enjooy this newsletter, just go ahead and forward this email to them. This will help us spread the word!

Semper discentes,

The D4S Team