49 Min.
Kevin Systrom - After Instagram: Bayesian modeling of COVID-19 with PyMC3 dats'n'stats
-
- Technologie
Kevin Systrom is the co-founder and former CEO of Instagram. In this episode we talk about his time after leaving the company, whether becoming a billionaire made him happier, how to decide what to work on, the Japanese concept of Ikigai, or a reason for being, and meditation.
We then dive into his current project -- rt.live -- a website which tracks the spread characteristics of COVID-19. The statistical model underlying the website is Bayesian and built using PyMC3. Kevin shares why he chose that approach and how he got started on PyMC3.
Show notes
Kevin Systrom on Twitter and his blogInstagramIkigai: The Japanese Secret to a Long and Happy LifeThe Mind IlluminatedCOVID-19 tracking: https://rt.liveAn Intuitive Guide to Bayesian StatisticsPyMC3Statistical Rethinking by McElreathBayesian Methods for Hackers by Cam Davidson-PilonSpecial thanks to all my patrons, specifically Jonathan Ng, Richard Craib, Daniel Gerlanc, and Ayan Doss.
Support the show
Kevin Systrom is the co-founder and former CEO of Instagram. In this episode we talk about his time after leaving the company, whether becoming a billionaire made him happier, how to decide what to work on, the Japanese concept of Ikigai, or a reason for being, and meditation.
We then dive into his current project -- rt.live -- a website which tracks the spread characteristics of COVID-19. The statistical model underlying the website is Bayesian and built using PyMC3. Kevin shares why he chose that approach and how he got started on PyMC3.
Show notes
Kevin Systrom on Twitter and his blogInstagramIkigai: The Japanese Secret to a Long and Happy LifeThe Mind IlluminatedCOVID-19 tracking: https://rt.liveAn Intuitive Guide to Bayesian StatisticsPyMC3Statistical Rethinking by McElreathBayesian Methods for Hackers by Cam Davidson-PilonSpecial thanks to all my patrons, specifically Jonathan Ng, Richard Craib, Daniel Gerlanc, and Ayan Doss.
Support the show
49 Min.