Тёмный

Corrie Bartelheimer: A Bayesian Workflow with PyMC and ArviZ | PyData Berlin 2019 

PyData
Подписаться 160 тыс.
Просмотров 4,7 тыс.
50% 1

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.
pycon.de
More details at the conference page: 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 RU-vid videos to help with discoverability? Find out more here: github.com/numfocus/RU-vidVi...

Наука

Опубликовано:

 

2 июл 2024

Поделиться:

Ссылка:

Скачать:

Готовим ссылку...

Добавить в:

Мой плейлист
Посмотреть позже
Комментарии    
Далее
КВН 2024 Высшая лига Четвертая 1/4
1:52:57
Bayesian Updating
0:40
Просмотров 7 тыс.