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Corona aus der Data-Science Perspektive
Python Podcast
German - March 29, 2020 22:00 - 1 hour - 54.7 MBTechnology Education How To Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
Corona aus der Data-Science Perspektive (click here to comment) 30. März 2020, Jochen Diesmal unterhalten uns mit Thomas Wiecki über Quantitative Finance, Probabilistic Programming und die Corona-Pandemie. Thomas hat übrigens einen eigenen Podcast namens PyData Deep Dive den wir wärmstens empfehlen können. So ab Minute 36 wird das mit den Audio-Knacksern übrigens auch besser :).
Shownotes
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Quantitative Finance
Quantopian
Backtesting
Quantopian auf github zipline (backtesting library)
Linear Regression
statsmodels ARIMA
Probabilistic Programming
pymc
Markov chain Monte Carlo
The Best Of Both Worlds: Hierarchical Linear Regression in PyMC3
Bayesian Statistics
COVID-19
Thomas covid-19 repository
Some covid19 dashboards
Compartmental models in epidemiology
Student's t-distribution
Using epidemiological models is like counting spoons tweet by @nntaleb
"Thousands of lines of undocumented c code" tweet by @neil_ferguson
Johns Hopkins Daten aus WHO Pdfs
European Centre for Disease Prevention and Control
Our world in data (coronavirus)
Hackathon Coronavirus
COVID19 Global Forecasting Kaggle-Competition
COVID-19 Open Research Dataset Challenge Kaggle-Competition
CCC Cert Informationssammlung
CERT Bulletin
Datasette
Datasette
Query für Italien auf der covid-19 datasette
Glitch