Episode 152 is out 🎙️
Host Alex Andorra talks with Daniel Saunders about a Bayesian decision theory workflow.

Big idea: stop optimizing for model accuracy and start optimizing for decision value.

🔗 https://lnkd.in/gw_uGaZc

#Bayesian #DecisionTheory #DataScience #Optimization

🎙️ New episode out now - Episode 151: Diffusion Models in Python, a Live Demo

In this episode, Alex Andorra is joined by Jonas Arruda to explore how diffusion models can be used for simulation-based inference (SBI) in practice with a live Python demo and more ...

🎧 https://lnkd.in/gMyAfrW5

Bayesian neural networks need one thing to matter: good uncertainty. Scaling them has always been the hard part

In this episode, host Alex Andorra with Emmanuel Sommer, Jakob Robnik, and David Rügamer explain what’s changing, faster sampling, better dynamics & more ...

🎧 https://lnkd.in/g2W5cZQZ

Work in tech is changing fast, and not always in obvious ways.

Alex Andorra talks with Alana Karen about how AI, hiring, and management are reshaping careers behind the scenes, AI automating early work, hiring favoring familiarity … and more.

🎧 https://lnkd.in/gcRJVT-s

#FutureOfWork

Clinical trials don’t fail because patients fail.
They fail when designs stop learning.

Episode 148 of Learning Bayesian Statistics explores adaptive & platform trials and why "wait for the final analysis" isn’t neutral in ALS or pandemics.

🔗 https://learnbayesstats.com/episode/148-adaptive-trials-bayesian-thinking-and-learning-from-data-with-scott-berry

Fast Bayesian inference is great… until you’re babysitting convergence.

Alex Andorra is joined by Martin Ingram to explore DADVI a more predictable, less noisy approach to variational inference that makes trade-offs explicit instead of mysterious

🎧 https://lnkd.in/gAX2iaHz

#bayesianinference

🎙️ How do you tackle extreme physics experiments? Ethan Smith shares insights with Alex Andorra

✅ Bayesian inference for sparse, noisy data
✅ Priors guide well-established physical models
✅ Scaling Bayesian workflows across teams

🎧 https://lnkd.in/geA2kQm6

#Bayesian #LearningBayesianStats

🎙️ What does it take to grow in tech? Jordan Thibodeau shares lessons from years inside top tech cultures with Alex Andorra

✅ Bayesian thinking as a practical advantage

✅ AI amplifies skill, not replaces it

✅ Networking & sharing knowledge matter

🎧 https://lnkd.in/ghk6D6nH

#bayes #career

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

🍽️ Can better nutrition science come from better statistics?

In the latest episode, Alex Andorra chats with Christoph Bamberg about using a Bayesian mindset to make psychology & nutrition research more transparent and actionable

🎧 https://learnbayesstats.com/episode/143-transforming-nutrition-science-bayesian-methods-christoph-bamberg

#bayes #nutrition