Bayesian deep learning helps ML models understand their uncertainty

In this episode Alex Andorra talks with Maurizio Filippone about Gaussian Processes, scalable inference, MCMC, and Bayesian deep learning at scale

🎧 https://learnbayesstats.com/episode/144-why-is-bayesian-deep-learning-so-powerful-maurizio-filippone

#BayesianStats #AI #ML #Bayes

🎙️ Ep. 133 is out now!

Alex Andorra chats with ‪ Sean P
& Adrian Seyboldt about making Bayesian models more efficient without losing rigor — zero-sum constraints, Cholesky tricks, practical wins & more

🎧 https://learnbayesstats.com/episode/133-making-models-more-efficient-flexible-sean-pinkney-adrian-seyboldt

#Bayesianstats #podcast #LBS

Learning about PyMC makes me want to become a statistician.. super interesting way to think about data, but so much goes into building a good model! So many rabbit holes.

Bayesian modelling is clearly super powerful though and seems to offer some answers to some of the most intractable problems with black-box ML. A reliable model with known and understandable inputs is invaluable for certain use cases.

#pydata #pydatalondon #pymc #bayesianstats

Bae in the fast lane: Master Bayes Regression in just 20 minutes! 🚗📊

Join Patrick Ward and me in #TidyX Episode 171 for a speed run through rstanarm and Tidybayes, predicting car mileage based on weight 🛣️

Bit.ly/TidyX_Ep171

#RStats #BayesianStats #TidyXExplained

we're kicking the New Year off with a very #Bayesian episode 🎆
#NUTS 🌰sampling, a new #ZeroSumNormal #distribution, #PyMC, the Bayesian workflow and more is all covered in episode 74 with @aseyboldt @pymc_devs #BayesianStats #modelling

https://learnbayesstats.com/episode/74-optimizing-nuts-developing-zerosumnormal-distribution-adrian-seyboldt/

Time for a small #Introduction! I'm a PhD student at #AarhusUniversity and #UniversityOfYork.

My PhD looks at how infants discover and explore the sounds of their first language using a combination of methods from #acoustics, #phonetics, #Bayesianstats, and #metascience. Relatedly, I'm a big fan of all things #Rstats, #Bayesian, #bigteamscience, and #openscience!

When I'm not programming or writing, I'm usually with my violin, trying to make it sound like a trumpet (i.e., #jazz #blues ).