e-Rum2020 Invited Session 2 - Machine Learning & Models / DataViz (Shiny) / Applications (plus Q&As)

Plenary Invited Sessions, chaired by Riccardo Porreca:
- [00:00:00] Ioannis Kosmidis: brquasi: Improved quasi-likelihood estimation
- [00:20:10] Szilard Pafkar: Better than Deep Learning: Gradient Boosting Machines (GBM) – with 2020 updates
- [00:37:20] Colin Fay: Testing Shiny: What, why, and how
- [00:53:30] Robin Lovelace: From writing code to infoRming policy: a case study of reproducible research in transport planning
Questions & Answers Sessions with the four invited speakers:
- [01:13:05] Ioannis Kosmidis
- [01:27:33] Szilard Pafkar
- [01:59:06] Colin Fay
- [02:39:54] Robin Lovelace
Speaker information and materials for this session are available at
https://github.com/Milano-R/erum2020program#invited-session-2---machine-learning-models-dataviz-shiny-applications

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