BITESIZE | How Bayesian Additive Regression Trees Work in Practice
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Sobre este título
- Soccer Factor Model Dashboard
 - Unveiling True Talent: The Soccer Factor Model for Skill Evaluation
 - LBS #91, Exploring European Football Analytics, with Max Göbel
 
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Today’s clip is from episode 142 of the podcast, with Gabriel Stechschulte.
Alex and Garbriel explore the re-implementation of BART (Bayesian Additive Regression Trees) in Rust, detailing the technical challenges and performance improvements achieved.
They also share insights into the benefits of BART, such as uncertainty quantification, and its application in various data-intensive fields.
Get the full discussion here.
- Intro to Bayes Course (first 2 lessons free)
 - Advanced Regression Course (first 2 lessons free)
 
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Transcript
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