Issue #181

November 14, 2022

Dear friends,
Welcome to the 181st edition of the Sunday Briefing. This week we’re on hiatus from blogging, but you can catch up on our latest post on the G4Sci series: Network Attacks: Breaking up a network without observing it completely on the latest Viz4Sci in the series: Photo Color Scheme, or the latest Medium post “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 packed full of graph related announcements. In just a few days, on November 16-17 , you’ll be able to attend NODES 2022, a free, 24-hour, multi-track, virtual conference loaded with highly technical presentations, delivered by Neo4j experts and users from around the world on graph-related topics that we’re pleased to be a Community Partner for.

We’re also proud to announce a whole new webinar series dedicated to Graphs, Graphs for Data Science where we will take a hands on approach to understanding graph algorithms by applying them to real world datasets. You can already register for first edition that is scheduled for Jan 10, 2023!

On our regularly scheduled content we explore the mathematics that makes us realize we don’t know much: Behavior of spin glasses and the Top 10 Machine Learning Libraries for Python 2022.

On the academic front we learn how Daylight saving time affects European mortality patterns, the Impact of Deniers on Epidemics nd how to relate User Engagement and the Toxicity of Tweets.

This weeks Data Science Book is “Essential Math for Data Science” by T. Nield. As always you can find all the previous book recommendations on our website. In the video of the week we learn about Wavelets: a mathematical microscope.

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Semper discentes,

The D4S Team

This weeks Data Science Book is " Essential Math for Data Science " by T. Nield. Here at Data For Science, we pride ourselves in taking a deep approach to the algorithms and models we employ. For this, good mathematical foundations are paramount. In his recent book T. Nield introduces the reader to enough of the mathematics underlying Data Science and Machine Learning to give you a head start in grokking both classic and state of the art algorithms that your likely to encounter in your career as a Data Scientist. A highly recommended read to anyone who wants to look inside the black boxes we use everyday.

Essential Math for Data Science

1. The mathematics that makes us realize we don't know much: Behavior of spin glasses [phys.org]
2. Introducing Amazon EventBridge Scheduler [aws.amazon.com]
3. Digital Astronomy with Cellular Automata [kylehovey.github.io]
4. How Online Mobs Act Like Flocks Of Birds [noemamag.com]
5. You Can Forget About Crypto Now [theatlantic.com]
6. Demystifying financial leverage [bam.kalzumeus.com]
7. Top 10 Machine Learning Libraries for Python 2022 [medium.com/@giovanni.stephens]

• Daylight saving time affects European mortality patterns (L. Lévy, J.-M. Robine, G. Rey, R. F. M. Turrubiates, M. Quijal-Zamorano, H. Achebak, J. Ballester, X. Rodó, F. R. Herrmann)
• Explainable Link Prediction in Knowledge Hypergraphs (Z. Chen, X. Wang, C. Wang, J. Li)
• Statistical inference links data and theory in network science (L. Peel, T. P. Peixoto, M. De Domenico)
• The Impact of Deniers on Epidemics: A Temporal Network Model (L. Zino, A. Rizzo, M. Porfiri)
• Situational diversity and linguistic complexity (J. Grieve)
• Probabilistic program inference in network-based epidemiological simulations (N. Smedemark-Margulies, R. Walters, H. Zimmermann, L. Laird, C. van der Loo, N. Kaushik, R. Caceres, J.-W. van de Meent)
• User Engagement and the Toxicity of Tweets (N. Salehabadi, A. Groggel, M. Singhal, S. S. Roy, S. Nilizadeh)
• Message passing methods on complex networks (M. E. J. Newman)

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

November 14, 2022

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