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Get early access to Alex's next live-cohort courses!
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.
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.
By Alexandre Andorra4.7
6666 ratings
Get early access to Alex's next live-cohort courses!
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.
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.

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