Corrie Bartelheimer: A Bayesian Workflow with PyMC and ArviZ | PyData Berlin 2019
Автор: PyData
Загружено: 2019-12-19
Просмотров: 5312
Описание:
Speaker: Corrie Bartelheimer
Track:PyData
Bayesian Modelling has several advantages such as the handling of uncertainty. While the advantages are well known, implementing a Bayesian model can be a bit more involved and some care needs to be taken to check whether the model converged.
Recorded at the PyConDE & PyData Berlin 2019 conference.
https://pycon.de
More details at the conference page: https://de.pycon.org/program/RRLRYG
Twitter: / pydataberlin
Twitter: / pyconde 00:00 Welcome!
00:10 Help us add time stamps or captions to this video! See the description for details.
Want to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/numfocus/YouTubeVi...
Повторяем попытку...
Доступные форматы для скачивания:
Скачать видео
-
Информация по загрузке: