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The Data Scientist Show
How he built the best Covid forecasting model, lessons learned and how to improve model performance with Youyang Gu - The Data Scientist Show#032
Mar 31, 2022
Youyang Gu, creator of covid19-projections.com, shares how he built an accurate Covid forecasting model using the SCIR model. He discusses the challenges faced when working with Covid data, the process of adjusting and tweaking the model, and the inclusion of additional features like school reopenings. Gu's model gained attention, leading to its inclusion on the CDC's website. He explores the effectiveness of crowdsourcing and the importance of diverse sources in forecasting. Gu is currently working on a project analyzing Covid mortality and inequalities within and between countries.
02:03:43
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Quick takeaways
- Youyang Gu created a COVID-19 forecasting model that outperformed medical experts.
- Clear explanations and understanding of a model's limitations are important in modeling.
Deep dives
Career Journey and Model Development
The podcast episode features an interview with the creator of a COVID-19 forecasting model that outperformed many medical experts. The guest shares insights on his career journey, starting from studying computer science to his masters in machine learning. He discusses his first foray into data science with a thesis on food adulteration detection using neural networks. The guest then delves into how he transitioned from finance to building a COVID projection model during his downtime in the early days of the pandemic. He explains the challenges he faced due to the limited and inconsistent data available at that time.
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Discover
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Listen to the best highlights from the podcasts you love and dive into the full episode