Eyal Kazin - A Gentle Introduction To Causal Inference | PyData Global 2022

preview_player
Показать описание

Correlation does not imply causation. It turns out, however, that with some simple ingenious tricks one can unveil causal relationships within standard observational data, without having to resort to expensive randomised control trials. Learn how to make the most out of your data, avoid misinterpretation pitfalls and draw more meaningful conclusions by adding causal inference to your toolbox.

PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.

PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.

00:00 Welcome!
00:10 Help us add time stamps or captions to this video! See the description for details.

Рекомендации по теме
Комментарии
Автор

13:33: "Does that mean we need to go back to the drawing board and collect more people in order to this? No, actually we can actually use a trick called weighted average."

RedShipsofSpainAgain
Автор

nice.. comical way to teach casual inference

muthukamalan.m