Issue #135
July 4, 2021
- 1. Comprehensive Python Cheatsheet [gto76.github.io]
- 2. Statistical Imaginaries: An Ode to Responsible Data Science [zephoria.substack.com]
- 3. DeepMind’s New AI With a Memory Outperforms Algorithms 25 Times Its Size [singularityhub.com]
- 4. On the potential of Transformers in Reinforcement Learning [lorenzopieri.com]
- 5. The Death of Feature Engineering is Greatly Exaggerated [petewarden.com]
- 6. System design hack: Postgres is a great pub/sub & job server [webapp.io]
- 7. Creating a better dashboard with Python, Dash, and Plotly [towardsdatascience.com]
- • Degree-preserving network growth (S. R. Kharel, T. R. Mezei, S. Chung, P. L. Erdős, Z. Toroczkai)
- • Algorithmic amplification of politics on Twitter (F. Huszár, S. I. Ktena, C. O’Brien, L. Belli, A. Schlaikjer, M. Hardt)
- • Improving Language Models by Retrieving from Trillions of Tokens (S. Borgeaud, A. Mensch, J. Hoffmann, T. Cai, E. Rutherford, K. Millican, G. van den Driessche, J.-B. Lespiau, B. Damoc, A. Clark, et al)
- • Revealing mechanisms of infectious disease spread through empirical contact networks (P. Sah, M. Otterstatter, S. T. Leu, S. Leviyang, S. Bansal)
- • An Extension of InfoMap to Absorbing Random Walks (E. V. Bernal, M. A. Porter, J. H. Tien)
- • A new coefficient of correlation (S. Chatterjee)
- • The interplay between ranking and communities in networks (L. Iacovissi, C. De Bacco)
- • Biases in human mobility data impact epidemic modeling (F. Schlosser, V. Sekara, D. Brockmann, M. Garcia-Herranz)
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