Issue #169

August 21, 2022

Dear friends,
Welcome to the 169th edition of the Sunday Briefing. We’re currently on hiatus form blogging but you can take advantage of the down time to catch up on the latest post on the G4Sci series: Kahn’s Algorithm for Topological Sorting, and at V4Sci we have Rotating Global Heatmap while at Medium you’ll find “Exploring the Dow-Jones Industrial Average using Linear Regression”.

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:

Paid subscription to Graphs for Science or Visualization for Science which gives you complete access to the archive of previous posts.
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This week we’re proud to announce that our latest scientific preprint,[ American cultural regions mapped through the lexical analysis of social media](American cultural regions mapped through the lexical analysis of social media), has just hit the arXiv and has already received Washington Post coverage honors! Check it out!

We would also like to remind you that the next iteration of the Natural Language Processing for Everyone webinar is coming up this Thursday, Aug 25th. Spots are filling up fast so don’t forget to Register.

On our regularly scheduled content, we explore the the Science of Scientific Writing, how Ethereum’s “Merge” is about to put every ether miner out of work and the best way to compare quantiles at scale in online A/B-testing.

On the academic front we dive into a spatiotemporal decay model of human mobility when facing large-scale crises, explore how heterogeneous rarity patterns drive price dynamics in NFT collections and Information theory can be a foundation for complexity science.

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 an in-depth tutorial on how Getting Started with Boto3 and AWS S3.

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

Semper discentes,

The D4S Team

This weeks Data Science Book is "Fundamentals of Data Engineering" by J. Reis and M. Housley. While our focus is on Data Science, we can't downplay the major role played by Data Engineering in practical Data projects. In this recent tome, the authors guide us through the thought processes, concepts and principles necessary to establish a successful Data Engineering operation to help support all of your data driven projects. They recommend a cloud first approach that allows for quick experimentation, adaptation and scaling.

Fundamentals of Data Engineering

1. The Science of Scientific Writing [americanscientist.org]
2. The world map that reboots your brain [axbom.com]
3. Running Large-Scale Graph Analytics with Memgraph and NVIDIA cuGraph Algorithms [developer.nvidia.com]
4. Ethereum's "Merge" is about to put every ether miner out of work [arstechnica.com]
5. Vector search just got up to 10x faster, easier to set up, and vertically scalable [pinecone.io]
6. Comparing quantiles at scale in online A/B-testing [engineering.atspotify.com]
7. Text Embeddings Visually Explained [txt.cohere.ai]
8. What Would a Theory of Data Visualization Look Like? [filwd.substack.com]
9. Variational Auto Encoder (VAE) for the Numerai Dataset [medium.com/mlearning-ai]
10. From ML Model to ML Pipeline [towardsdatascience.com]

• American cultural regions mapped through the lexical analysis of social media (T. Louf, B. Gonçalves, J. J. Ramasco, D. Sanchez, J. Grieve)
• Using a cognitive network model of moral and social beliefs to explain belief change (J. Dalege, T. Van Der Does)
• A spatiotemporal decay model of human mobility when facing large-scale crises (W. Li, Q. Wang, Y. Liu, M. L. Small, J. Gao)
• Heterogeneous rarity patterns drive price dynamics in NFT collections (A. Mekacher, A. Bracci, M. Nadini, M. Martino, L. Alessandretti, L. M. Aiello, A. Baronchelli)
• Information theory: A foundation for complexity science (A. Golan, J. Harte)
• Impact of Lifting School Masking Requirements on Incidence of COVID-19 among Staff and Students in Greater-Boston Area School Districts: A Difference-in-Differences Analysis (T. L. Cowger, J. Clarke, E. J. Murray, S. M. Sánchez, M.T. Bassett, B. O. Ojikutu, N. Linos, K. T. Hall)
• Knowledge graph embedding by projection and rotation on hyperplanes for link prediction (T. Le, N. Huynh, B. Le)

All the videos of the week are now available in ourYoutube playlist.

August 21, 2022

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