Issue #115
July 4, 2021
- 1. Convolutional Neural Networks for Beginners [serokell.io]
- 2. An attempt at demystifying graph deep learning [ericmjl.github.io]
- 3. As lockdowns lift, media firms brace for an “attention recession” [economist.com]
- 4. Recursion in SQL Explained Visually [medium.com/swlh]
- 5. Reflections on 10,000 Hours of Programming [matt-rickard.com]
- 6. The worlds first website [history.com]
- 7. Mobility patterns influence how we experience income segregation in our cities [medium.com/mit-media-lab]
- • Quantifying the compressibility of complex networks (C. W. Lynn, D. S. Bassett)
- • Deep learning of contagion dynamics on complex networks (C. Murphy, E. Laurence, A. Allard)
- • How to avoid machine learning pitfalls: a guide for academic researchers (M. A. Lones)
- • Mobilkit: A Python Toolkit for Urban Resilience and Disaster Risk Management Analytics using High Frequency Human Mobility Data (E. Ubaldi, T. Yabe, N. K. W. Jones, M. F. Khan, S. V. Ukkusuri, E. Strano)
- • Linking the Network Centrality Measures Closeness and Degree (T. S. Evans, B. Chen)
- • Citations or dollars? Early signals of a firm's research success (S. Xu, M. S. Mariani, L. Lü, L. Napolitano, E. Pugliese, A. Zaccaria)
- • Geolocation differences of language use in urban areas (O. Kellert, N. H. Matlis)
Transformers from the Ground Up
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