D4S Sunday Briefing #70

Original article was published by Bruno Gonçalves on Deep Learning on Medium


Issue #70

D4S Sunday Briefing #67

A weekly newsletter with the latest developments in Data Science and Machine Learning and Artificial Intelligence.

Sept 27, 2020

​Dear friends,

Welcome to the 70th issue of the Sunday Briefing.

This week we are taking a break from blogging, but you can catch up on the most recent post in the Causality series were we cover the concept of d-separation, the fundamental tool in understanding how to make any pair of variables conditionally dependent or independent. As always, all the relevant code can be found in GitHub. You can also checkout the latest in the Epidemic Modeling series where we go over the basics of Network Structure, Superspreaders and Contact Tracing.

We’re happy to announce that on Oct 2nd we’ll be presenting a short tutorial on “Visualization with Seaborn” as part of PyGotham.tv. Registration is free! Don’t miss it!

In our regularly scheduled content, we have an overview of Wav2vec , Facebooks’ new state of the art text-to-speech library, a look at a Decade of Social Bot Detection, some Numpy Tricks and an Introduction to Bayesian Inference.

On the academic front, we have a Statistical learning theory of structured data, Scikit-network, a new graph analysis library in Python and the Principles and Practice of Explainable Machine Learning.

Finaly, in the video of the week, Janelle Shane talks to us about how The danger of AI is weirder than you think.

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