Issue #83
December 27, 2020
- 1. How Claude Shannon Invented the Future [quantamagazine.org]
- 2. Artificial Intelligence — The Revolution Hasn’t Happened Yet [medium.com/@mijordan3]
- 3. Deep Graph Library [dgl.ai]
- 4. Probabilistic Flakiness: How do you test your tests? [engineering.fb.com]
- 5. The birth of the Web [home.cern]
- 6. Causal Models for Regression [towardsdatascience.com]
- 7. Docker for data scientists — Part 1 [towardsdatascience.com]
- • Emergence of power law distributions for odd and even lifetimes (S. A. Menchón, P. Román)
- • The effect of interventions on COVID-19 (K. Soltesz, F. Gustafsson, T. Timpka, J. Jaldén, C. Jidling, A. Heimerson, T. B. Schön, A. Spreco, J. Ekberg, Ö. Dahlström, F. B. Carlson, A. Jöud, B. Bernhardsson)
- • Systemic Risk in Financial Networks: A Survey (M. O. Jackson, A. Pernoud)
- • Maximum Entropy competes with Maximum Likelihood (A. E. Allahverdyan, N. H. Martirosyan)
- • Probabilistic Dependency Graphs (O. Richardson, J. Y. Halpern)
- • Research Reproducibility as a Survival Analysis (E. Raff)
- • Global Models for Time Series Forecasting: A Simulation Study (H. Hewamalage, C. Bergmeir, K. Bandara)
- • Machine Learning Advances for Time Series Forecasting (R. P. Masini, M. C. Medeiros, E. F. Mendes)
- • The structure of behavioral data (A. Defossez, M. Ansarinia, B. Clocher, E. Schmück, P. Schrater, P. Cardoso-Leite)
- • Generalization in portfolio-based algorithm selection (M.-F. Balcan, T. Sandholm, E. Vitercik)
A Gentle Introduction To Network Science
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