Issue #166

July 31, 2022

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. Atoms, Institutions, Blockchains [stark.mirror.xyz]
2. SQLite extension for reading lines from a file or blob [github.com/asg017]
3. How Graphviz thinks the USA is laid out [shitpost.plover.com]
4. How Wikipedia influences judicial behavior [csail.mit.edu]
5. Transformer models: an introduction and catalog [amatriain.net]
6. Three Approaches to Feature Engineering for Time Series [towardsdatascience.com]
7. Advanced SQL Concepts You Need to Know! [medium.com/dp6-us-blog]

• 20 years of network community detection (S. Fortunato, M. E. J. Newman)
• No evidence for nudging after adjusting for publication bias (M. Maier, F. Bartoš, T. D. Stanley, D. R. Shanks, A. J. L. Harris, E.-J. Wagenmakers)
• Mimetic Models: Ethical Implications of AI that Acts Like You (R. McIlroy-Young, J. Kleinberg, S. Sen, S. Barocas, A. Anderson)
• The random walk-based gravity model to identify influential nodes in complex networks (J. Zhao, T.Wen, H. Jahanshahi, K. H. Cheong)
• Dimensional Reduction of Solvency Contagion Dynamics on Financial Networks (G. Ricciardi, G. Montagna, G. Caldarelli, G. Cimini)
• Differentiable Agent-based Epidemiology (A. Chopra, A. Rodríguez, J. Subramanian, B. Krishnamurthy, B. A. Prakash, R. Raskar)
• The Importance of (Exponentially More) Computing Power (N. C. Thompson, S. Ge, G. F. Manso)

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

July 31, 2022

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