BITESIZE | How to Think Causally About Your Models?
Failed to add items
Add to basket failed.
Add to Wish List failed.
Remove from Wish List failed.
Follow podcast failed
Unfollow podcast failed
BITESIZE | How to Think Causally About Your Models?
-
Narrated by:
-
By:
About this listen
Today’s clip is from episode 140 of the podcast, with Ron Yurko.
Alex and Ron discuss the challenges of model deployment, and the complexities of modeling player contributions in team sports like soccer and football.
They emphasize the importance of understanding replacement levels, the Going Deep framework in football analytics, and the need for proper modeling of expected points.
Additionally, they share insights on teaching Bayesian modeling to students and the difficulties they face in grasping the concepts of model writing and application.
Get the full discussion here.
- Intro to Bayes Course (first 2 lessons free)
- Advanced Regression Course (first 2 lessons free)
Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work!
Visit our Patreon page to unlock exclusive Bayesian swag ;)
Transcript
This is an automatic transcript and may therefore contain errors. Please get in touch if you're willing to correct them.