July 4, 2021

Dear friends,
Welcome to the 130th issue of the Sunday Briefing.

This week we are proud to announce the latest Visualization for Science blogpost: Florence Nightingale Rose Plot where we explore and reproduce one of histories most famous visualizations. You can also catch up on Network Assortativity and the Configurational Model over at G4Sci where we explore Degree-Degree Correlations in the airline network.

We’ve just completed recording and editing two new long form on-demand videos. Many of you have already checked them out (Thank you!), but for those who didn’t here’s a quick summary:

1. Natural Language Processing, has almost five and a half hours of new NLP content using NLTK and Keras that will bring you up to speed on state of the art NLP techniques and approaches.

2. Times Series Analysis for Everyone, is six hours of videos covering data pre-processing, visualization, ARIMA, ARCH and Deep Learning models for Time series analysis.

On our regularly scheduled content we explore why NFTs are bad annd how Someone Made a Pirate Bay for NFTs. Next we dive into a tutorial on Transformers from scratch and a guide to Contributing to Open Source.

From academia we have a look at the dynamics of online hate and misinformation, a new approah to Attention Based Subgraph Classification for Link Prediction by Network Re-weighting and an argument for the impossibility of machine intelligence.

Finally, this weeks ‘Data Science Book ’ highlight is “Graph Representation Learning” by W. Hamilton. As always you can find all the previous book recommendations on our website. In the video of the week we have a tutorial on Working with Dates and Time Series Data in Pandas.

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Semper discentes,

The D4S Team