July 31, 2022

Dear friends,
Welcome to the 165th edition of the Sunday Briefing. This week we’re proud to announce the latest post on the G4Sci series: Kahn’s Algorithm for Topological Sorting. You can also catch up on our recent posts, over at V4Sci we have Rotating Global Heatmap while at Medium you’ll find “Exploring the Dow-Jones Industrial Average using Linear Regression”.

We’re also happy two announce two new webinars coming up in September. On Sept 13 we have NLP with Deep Learning for Everyone, followed by Applied Probability Theory for Everyone on Sept 27th.

In recent weeks, several of you have reached out asking how they can help support the work we do here at Data For Science. While the Sunday Briefing is a labour of love and will always remain free, it is not without costs and any help is appreciated.

If you wish to support our work, there are several options:

1. Paid subscription to Graphs for Science or Visualization for Science.
2. Directly through PayPal.

On our regularly scheduled content we consider the hardness of Atoms, Institutions, and Blockchains, how Graphviz thinks the USA is laid out, and explore Three Approaches to Feature Engineering for Time Series.

While on the more academic front we celebrate the 20 years of network community detection, learn that there is no evidence for nudging after adjusting for publication bias and take a deep dive into differentiable Agent-based Epidemiology.

This weeks ‘Data Science Book ’ highlight is Data Science Book is “Analytical Skills for AI & Data Science” by D. Vaughan. As always you can find all the previous book recommendations on our website. In the video of the week we have a tutorial on Geospatial Data Maps with Python.

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Semper discentes,

The D4S Team