Issue #95
March 21, 2021
- 1. Why would anyone buy crypto art – let alone spend millions on what’s essentially a link to a JPEG file? [theconversation.com]
- 2. Considerations for pattern-based spatial analysis [nowosad.github.io]
- 3. Finding a standard dataset format for machine learning [openml.github.io]
- 4. Which color scale to use when visualizing data [blog.datawrapper.de]
- 5. Never a dill moment: Exploiting machine learning pickle files [blog.trailofbits.com]
- 6. How to Write Better with The Why, What, How Framework [eugeneyan.com]
- 7. Gartner’s 2021 Magic Quadrant cites ‘glut of innovation’ in data science and ML [venturebeat.com]
- 8. Data Science for Marketing Optimization - Case Studies from Airbnb, Lyft, DoorDash [blogboard.io]
- • Measuring human capital using global learning data (N. Angrist, S. Djankov, P. K. Goldberg, H. A. Patrinos)
- • COVID-19 Superspreading Suggests Mitigation by Social Network Modulation (B. F. Nielsen, L. Simonsen, K. Sneppen)
- • Multitype branching and graph product theory of infectious disease outbreaks (A. Vazquez)
- • Collaborative Filtering Approach to Link Prediction (Y.-L. Lee, T. Zhou)
- • Deep learning: a statistical viewpoint (P. L. Bartlett, A. Montanari, A. Rakhlin)
- • Graph Theory in Brain Networks (M. K. Chung)
- • Clusterability in Neural Networks (D. Filan, S. Casper, S. Hod, C. Wild, A. Critch, S. Russell)
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