Issue #110
July 4, 2021
- 1. John Urschel: From NFL Player to Mathematician [quantamagazine.org]
- 2. You Don’t Understand Neural Networks Until You Understand the Universal Approximation Theorem [medium.com/analytics-vidhya]
- 3. Offline Policy Evaluation: Run fewer, better A/B tests [edoconti.medium.com]
- 4. Using sqlite3 as a notekeeping document graph with automatic reference indexing [epilys.github.io/bibliothecula]
- 5. Make Patterns Pop Out of Heatmaps with Seriation [nicolas.kruchten.com]
- 6. Is Facebook's "Prophet" the Time-Series Messiah, or Just a Very Naughty Boy? [microprediction.com]
- 7. Double Machine Learning for causal inference [towardsdatascience.com]
- • Human social sensing is an untapped resource for computational social science (M. Galesic, W. B. de Bruin, J. Dalege, S. L. Feld, F. Kreuter, H. Olsson, D. Prelec, D. L. Stein, T. van der Does)
- • Measuring algorithmically infused societies (C. Wagner, M. Strohmaier, A. Olteanu, E. Kıcıman, N. Contractor, T. Eliassi-Rad)
- • Meaningful measures of human society in the twenty-first century (D. Lazer, E. Hargittai, D. Freelon, S. Gonzalez-Bailon, K. Munger, K. Ognyanova, J. Radford)
- • Network Structure, Metadata, and the Prediction of Missing Nodes and Annotations (D. Hric, T. P. Peixoto, S. Fortunato)
- • Multilayer networks for text analysis with multiple data types (C. C. Hyland, Y. Tao, L. Azizi, M. Gerlach, T. P. Peixoto, E. G. Altmann)
- • Information Theory: A Tutorial Introduction (J. V. Stone)
- • Untangling urban data signatures: unsupervised machine learning methods for the detection of urban archetypes at the pedestrian scale (G. D. Simons)
- • When standard network measures fail to rank journals: A theoretical and empirical analysis (G. Vaccario, L. Verginer)
- • Introducing PathQuery, Google's Graph Query Language (J. Weaver, E. Paniagua, T. Agarwal, N. Guy, A. Mattos)
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