Скачать или смотреть BITESIZE | How Bayesian Additive Regression Trees Work in Practice

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Today’s clip is from episode 142 (https://learnbayesstats.com/episode/1...) 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 (https://learnbayesstats.com/episode/1...) .

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Transcript


This is an automatic transcript and may therefore contain errors. Please get in touch (  / learnbayesstats  ) if you're willing to correct them.