Issue #148

July 4, 2021

This weeks Data Science Book is " Causality " by J. Pearl. Causal Inference is a lively and fast developing area in Data Science that we believe has the potential to be truly revolutionary in coming years (you can get a quick overview of the main ideas in our Causal Inference series over at Medium). Judea Pearl is one of the most prominent founding fathers of this field that he introduces masterfully in this textbook. While the approach Pearl chooses is mathematically rigorous, thanks to his rich use of toy examples, the key ideas and concepts are easily grasped and adapted to real world datasets. Causal Inference is a powerful arrow in any Data Scientist's quiver and this is the ideal starting point if you're interested in taking the first steps in this exciting area.

Causality

1. Churn - How it works operationally and ways to calculate it [causal.app]
2. Varieties of mathematical understanding [ams.org]
3. In Praise of Memorization [pearlleff.com]
4. A DARPA Perspective on Artificial Intelligence [darpa.mil]
5. Dennis Sullivan, Uniter of Topology and Chaos, Wins the Abel Prize [quantamagazine.org]
6. Word2Vec Explained [towardsdatascience.com]
7. Machine Learning System Automatically Translates Long-Lost Languages [cacm.acm.org]
8. The counter-intuitive rise of Python in scientific computing [cerfacs.fr]
9. Pamplona Bull Runs Reveal Dynamics of Crowds in Danger [scientificamerican.com]

• Dynamics of ranking (G. Iñiguez, C. Pineda, C. Gershenson, A.-L. Barabási)
• Large deviations of a susceptible-infected-recovered model around the epidemic threshold (Y. Feld, A. K. Hartmann)
• A Highly-Available Move Operation for Replicated Trees (M. Kleppmann, D. P. Mulligan, V. B. F. Gomes, A. R. Beresford)
• Link Prediction in Time Varying Social Networks (V. Carchiolo, C. Cavallo, M. Grassia, M. Malgeri, G. Mangioni)
• Mathematical analysis of a hybrid model: Impacts of individual behaviors on the spreading of an epidemic (G. Cantin, C. J. Silva, A. Banos)
• Bayesian inference in Epidemics: linear noise analysis (S. Bronstein, S. Engblom, R. Marin)
• Analyzing EU-15 immigrants’ language acquisition using Twitter data (S. Gil-Clavel, A. Grow, M. J. Bijlsma)

The Craft of Writing Effectively

July 4, 2021

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