Issue #81
December 13, 2020
- 1. Who do we spend time with across our lifetime? [ourworldindata.org]
- 2. Zodiac ‘340 Cipher’ cracked by code experts 51 years after it was sent to the S.F. Chronicle [sfchronicle.com]
- 3. Physicists solve 150-year-old mystery of equation governing sandcastle physics [arstechnica.com]
- 4. How Payment Transaction Processing Works [blog.privacy.com]
- 5. Announcing LAMBDA: Turn Excel formulas into custom functions [techcommunity.microsoft.com]
- 6. Why UPS drivers don’t turn left and you probably shouldn’t either [theconversation.com]
- 7. Using AutoML for Time Series Forecasting [ai.googleblog.com]
- 8. Time Series Analysis (TSA) in Python - Linear Models to GARCH [blackarbs.com]
- 9. Network effect: visualizing AI connections in the natural sciences [nature.com]
- • Comparing crime rates between undocumented immigrants, legal immigrants, and native-born US citizens in Texas (M. T. Light, J. He, J. P. Robey)
- • Artificial-intelligence research escalates amid calls for caution (B. Crew)
- • Empirical model for short-time prediction of COVID-19 spreading (M. Català, S. Alonso, E. Alvarez-Lacalle, D. López, P.-J. Cardona, C. Prats)
- • Scaling Laws of Collective Ride-Sharing Dynamics (N. Molkenthin, M. Schröder, M. Timme)
- • Deep Learning for Human Mobility: a Survey on Data and Models (M. Luca, G. Barlacchi, B. Lepri, L. Pappalardo)
- • Categorical Perception: A Groundwork for Deep Learning (L. Bonnasse-Gahot, J.-P. Nadal)
- • The friendship paradox in real and model networks (G. T. Cantwell, A. Kirkley, M. E. J. Newman)
- • Deep Learning for Medical Anomaly Detection -- A Survey (T. Fernando, H. Gammulle, S. Denman, S. Sridharan, C. Fookes)
- • Understanding Attention: In Minds and Machines (S. P. Sawant, S. Singh)
- • Every Model Learned by Gradient Descent Is Approximately a Kernel Machine (P. Domingos)
Using Survival Analysis to understand customer retention
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