
#140 NFL Analytics & Teaching Bayesian Stats, with Ron Yurko
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Sobre este áudio
Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!
- 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 ;)
Takeaways:
- Teaching students to write out their own models is crucial.
- Developing a sports analytics portfolio is essential for aspiring analysts.
- Modeling expectations in sports analytics can be misleading.
- Tracking data can significantly improve player performance models.
- Ron encourages students to engage in active learning through projects.
- The importance of understanding the dependency structure in data is vital.
- Ron aims to integrate more diverse sports analytics topics into his teaching.
Chapters:
03:51 The Journey into Sports Analytics
15:20 The Evolution of Bayesian Statistics in Sports
26:01 Innovations in NFL WAR Modeling
39:23 Causal Modeling in Sports Analytics
46:29 Defining Replacement Levels in Sports
48:26 The Going Deep Framework and Big Data in Football
52:47 Modeling Expectations in Football Data
55:40 Teaching Statistical Concepts in Sports Analytics
01:01:54 The Importance of Model Building in Education
01:04:46 Statistical Thinking in Sports Analytics
01:10:55 Innovative Research in Player Movement
01:15:47 Exploring Data Needs in American Football
01:18:43 Building a Sports Analytics Portfolio
Thank you to my Patrons for making this episode possible!
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