Alexandre Andorra
@alex-andorra.bsky.social
⚾ Senior Applied Scientist @ Miami Marlins
🎙️ Creator @learnbayesstats.com podcast
📊 Cofounder @pymc_labs
👨🏫 Teacher @IntuitiveBayes
🎙️ Creator @learnbayesstats.com podcast
📊 Cofounder @pymc_labs
👨🏫 Teacher @IntuitiveBayes
Pinned
Alexandre Andorra & Christopher Fonnesbeck- Mastering Gaussian Processes with PyMC | PyData NYC 2024
YouTube video by PyData
www.youtube.com
Our @pydata.bsky.social tutorial with @fonnesbeck.bsky.social on Mastering #GaussianProcesses with @pymc-devs.bsky.social is now online 🥳
If you missed it live, come check it out!
Enjoy & PyMCheers 🖖
Video: www.youtube.com/watch?v=u6I5...
GitHub repo: github.com/AlexAndorra/...
If you missed it live, come check it out!
Enjoy & PyMCheers 🖖
Video: www.youtube.com/watch?v=u6I5...
GitHub repo: github.com/AlexAndorra/...
Time to take stock of what is going on in the #TechIndustry, how #GenAI is changing the jobs, and how to integrate it in your career.
Here is a super dense, and hopefully actionable, episode with the great Jordan Thibodeau -- make sure to give his SVIC Podcast a listen!
Here is a super dense, and hopefully actionable, episode with the great Jordan Thibodeau -- make sure to give his SVIC Podcast a listen!
🎙️ What does it take to grow in tech? Jordan Thibodeau shares lessons from years inside top tech cultures with @alex-andorra.bsky.social
✅ Bayesian thinking as a practical advantage
✅ AI amplifies skill, not replaces it
✅ Networking & sharing knowledge matter
🎧 lnkd.in/ghk6D6nH
#bayes #career
✅ Bayesian thinking as a practical advantage
✅ AI amplifies skill, not replaces it
✅ Networking & sharing knowledge matter
🎧 lnkd.in/ghk6D6nH
#bayes #career
November 14, 2025 at 5:30 PM
Time to take stock of what is going on in the #TechIndustry, how #GenAI is changing the jobs, and how to integrate it in your career.
Here is a super dense, and hopefully actionable, episode with the great Jordan Thibodeau -- make sure to give his SVIC Podcast a listen!
Here is a super dense, and hopefully actionable, episode with the great Jordan Thibodeau -- make sure to give his SVIC Podcast a listen!
This one is a very practical one, with the great Maurizio Filippone -- all about the intersection of #DeepLearning , #GaussianProcesses and why combining them is so powerful. Enjoy!
Bayesian deep learning helps ML models understand their uncertainty
In this episode @alex-andorra.bsky.social talks with Maurizio Filippone about Gaussian Processes, scalable inference, MCMC, and Bayesian deep learning at scale
🎧 learnbayesstats.com/episode/144-...
#BayesianStats #AI #ML #Bayes
In this episode @alex-andorra.bsky.social talks with Maurizio Filippone about Gaussian Processes, scalable inference, MCMC, and Bayesian deep learning at scale
🎧 learnbayesstats.com/episode/144-...
#BayesianStats #AI #ML #Bayes
November 3, 2025 at 4:14 PM
This one is a very practical one, with the great Maurizio Filippone -- all about the intersection of #DeepLearning , #GaussianProcesses and why combining them is so powerful. Enjoy!
Reposted by Alexandre Andorra
🍽️ Can better nutrition science come from better statistics?
In the latest episode, @alex-andorra.bsky.social chats with Christoph Bamberg about using a Bayesian mindset to make psychology & nutrition research more transparent and actionable
🎧 learnbayesstats.com/episode/143-...
#bayes #nutrition
In the latest episode, @alex-andorra.bsky.social chats with Christoph Bamberg about using a Bayesian mindset to make psychology & nutrition research more transparent and actionable
🎧 learnbayesstats.com/episode/143-...
#bayes #nutrition
October 17, 2025 at 4:09 PM
🍽️ Can better nutrition science come from better statistics?
In the latest episode, @alex-andorra.bsky.social chats with Christoph Bamberg about using a Bayesian mindset to make psychology & nutrition research more transparent and actionable
🎧 learnbayesstats.com/episode/143-...
#bayes #nutrition
In the latest episode, @alex-andorra.bsky.social chats with Christoph Bamberg about using a Bayesian mindset to make psychology & nutrition research more transparent and actionable
🎧 learnbayesstats.com/episode/143-...
#bayes #nutrition
How to run #BART and #TreeModels fast in #Python -- new episode is out, with @gstechschulte.bsky.social !
🤔How do you keep Bayesian rigor when the data’s too big to behave?
@gstechschulte.bsky.social joins @alex-andorra.bsky.social on Learning Bayesian Statistics to talk BART and how they’re bridging classic stats with modern, large-scale systems.
🎧 Listen here: learnbayesstats.com/episode/142-...
@gstechschulte.bsky.social joins @alex-andorra.bsky.social on Learning Bayesian Statistics to talk BART and how they’re bridging classic stats with modern, large-scale systems.
🎧 Listen here: learnbayesstats.com/episode/142-...
October 6, 2025 at 5:48 PM
How to run #BART and #TreeModels fast in #Python -- new episode is out, with @gstechschulte.bsky.social !
Reposted by Alexandre Andorra
🏈 NFL meets Bayesian stats!
In this episode @alex-andorra.bsky.social chats with Ron Yurko on
👉 Writing your own models
👉 Building a sports analytics portfolio
👉 Pitfalls of modelling expectations
👉 Using tracking data for player insights
👉 Causal thinking in football data
🎧 lnkd.in/gWz4v2JG
In this episode @alex-andorra.bsky.social chats with Ron Yurko on
👉 Writing your own models
👉 Building a sports analytics portfolio
👉 Pitfalls of modelling expectations
👉 Using tracking data for player insights
👉 Causal thinking in football data
🎧 lnkd.in/gWz4v2JG
September 9, 2025 at 5:42 PM
🏈 NFL meets Bayesian stats!
In this episode @alex-andorra.bsky.social chats with Ron Yurko on
👉 Writing your own models
👉 Building a sports analytics portfolio
👉 Pitfalls of modelling expectations
👉 Using tracking data for player insights
👉 Causal thinking in football data
🎧 lnkd.in/gWz4v2JG
In this episode @alex-andorra.bsky.social chats with Ron Yurko on
👉 Writing your own models
👉 Building a sports analytics portfolio
👉 Pitfalls of modelling expectations
👉 Using tracking data for player insights
👉 Causal thinking in football data
🎧 lnkd.in/gWz4v2JG
Reposted by Alexandre Andorra
Really enjoyed talking to @alex-andorra.bsky.social on @learnbayesstats.bsky.social! I've always enjoyed listening to this podcast and encourage you to check out all of the awesome episodes Alex has recorded: learnbayesstats.com #statistics #Bayesian #datascience #sportsanalytics
🏈 NFL meets Bayesian stats!
In this episode @alex-andorra.bsky.social chats with Ron Yurko on
👉 Writing your own models
👉 Building a sports analytics portfolio
👉 Pitfalls of modelling expectations
👉 Using tracking data for player insights
👉 Causal thinking in football data
🎧 lnkd.in/gWz4v2JG
In this episode @alex-andorra.bsky.social chats with Ron Yurko on
👉 Writing your own models
👉 Building a sports analytics portfolio
👉 Pitfalls of modelling expectations
👉 Using tracking data for player insights
👉 Causal thinking in football data
🎧 lnkd.in/gWz4v2JG
September 9, 2025 at 6:30 PM
Really enjoyed talking to @alex-andorra.bsky.social on @learnbayesstats.bsky.social! I've always enjoyed listening to this podcast and encourage you to check out all of the awesome episodes Alex has recorded: learnbayesstats.com #statistics #Bayesian #datascience #sportsanalytics
Really recommend this one, about how to blend #CausalInference and #DeepLearning in practice, with ChiRho and Pyro!
🧪 Causal inference is about understanding why things happen, not just what
@alex-andorra.bsky.social talks with Sam Witty about ChiRho & how probabilistic programming is reshaping interventions, counterfactuals, and the future of causal reasoning
🎧 learnbayesstats.com/episode/141-...
#newepisode
@alex-andorra.bsky.social talks with Sam Witty about ChiRho & how probabilistic programming is reshaping interventions, counterfactuals, and the future of causal reasoning
🎧 learnbayesstats.com/episode/141-...
#newepisode
September 23, 2025 at 9:21 AM
Really recommend this one, about how to blend #CausalInference and #DeepLearning in practice, with ChiRho and Pyro!
This was a super fun one, geeking out on LLMs, deep neural nets and optimization with Maximilian Balandat, from Meta
What if your optimization algorithm could explain its uncertainty as clearly as its results?” 🤔
In this episode🎙️ @alex-andorra.bsky.social dives into Bayesian optimization, BoTorch, and why uncertainty matters with Maximilian Balandat
🎧 Listen here: lnkd.in/gg6fcfFU
#bayesian #pytorch #podcast
In this episode🎙️ @alex-andorra.bsky.social dives into Bayesian optimization, BoTorch, and why uncertainty matters with Maximilian Balandat
🎧 Listen here: lnkd.in/gg6fcfFU
#bayesian #pytorch #podcast
August 22, 2025 at 5:54 PM
This was a super fun one, geeking out on LLMs, deep neural nets and optimization with Maximilian Balandat, from Meta
Live episode from @imperialcollegeldn.bsky.social is out! All about #BayesianDeepLearning
Your deep learning model might be confidently wrong — and in medicine or epidemiology, that’s dangerous.
In this episode, @alex-andorra.bsky.social chats with Mélodie Monod, François-Xavier & Yingzhen Li about making neural nets more reliable, Bayesian LLMs & more
🎧 lnkd.in/gcaRQXcb
#bayes #llm
In this episode, @alex-andorra.bsky.social chats with Mélodie Monod, François-Xavier & Yingzhen Li about making neural nets more reliable, Bayesian LLMs & more
🎧 lnkd.in/gcaRQXcb
#bayes #llm
August 8, 2025 at 6:06 PM
Live episode from @imperialcollegeldn.bsky.social is out! All about #BayesianDeepLearning
Reposted by Alexandre Andorra
🚨 MCMC or INLA?
🤯 MCMC = slow sampling.
⚡ INLA = fast, smart approximations. No chains, no waiting.
🎙️ On LBS, @alex-andorra.bsky.social talks with Haavard Rue & Janet Van Niekerk about how INLA works, when to use it, and why it’s a game-changer.
🎧 Listen: lnkd.in/gp8D-RuU
#Bayesian #MCMC
🤯 MCMC = slow sampling.
⚡ INLA = fast, smart approximations. No chains, no waiting.
🎙️ On LBS, @alex-andorra.bsky.social talks with Haavard Rue & Janet Van Niekerk about how INLA works, when to use it, and why it’s a game-changer.
🎧 Listen: lnkd.in/gp8D-RuU
#Bayesian #MCMC
July 16, 2025 at 5:23 PM
🚨 MCMC or INLA?
🤯 MCMC = slow sampling.
⚡ INLA = fast, smart approximations. No chains, no waiting.
🎙️ On LBS, @alex-andorra.bsky.social talks with Haavard Rue & Janet Van Niekerk about how INLA works, when to use it, and why it’s a game-changer.
🎧 Listen: lnkd.in/gp8D-RuU
#Bayesian #MCMC
🤯 MCMC = slow sampling.
⚡ INLA = fast, smart approximations. No chains, no waiting.
🎙️ On LBS, @alex-andorra.bsky.social talks with Haavard Rue & Janet Van Niekerk about how INLA works, when to use it, and why it’s a game-changer.
🎧 Listen: lnkd.in/gp8D-RuU
#Bayesian #MCMC
New episode is out! A really fascinating one with Robert Ness, about his new #CausalAI book, which actually kickstarted a whole new learning path for me
Robert and I are actually working on an educational project you're gonna love... Follow @learnbayesstats.bsky.social for the upcoming announcement!
Robert and I are actually working on an educational project you're gonna love... Follow @learnbayesstats.bsky.social for the upcoming announcement!
Models need more than pattern-matching.
They need causal understanding.
In this episode, Robert Ness joins @alex-andorra.bsky.social to explore:
⚡ Why models need real-world biases
🧠 How causal rep learning is reshaping AI
🤖 What it takes to add causality to DL
🎧 lnkd.in/gUnCkwEP
#bayes #podcast
They need causal understanding.
In this episode, Robert Ness joins @alex-andorra.bsky.social to explore:
⚡ Why models need real-world biases
🧠 How causal rep learning is reshaping AI
🤖 What it takes to add causality to DL
🎧 lnkd.in/gUnCkwEP
#bayes #podcast
July 25, 2025 at 6:59 PM
New episode is out! A really fascinating one with Robert Ness, about his new #CausalAI book, which actually kickstarted a whole new learning path for me
Robert and I are actually working on an educational project you're gonna love... Follow @learnbayesstats.bsky.social for the upcoming announcement!
Robert and I are actually working on an educational project you're gonna love... Follow @learnbayesstats.bsky.social for the upcoming announcement!
🚨 Tired of MCMC cooking your CPU for hours?
@alex-andorra.bsky.social chats with Haavard Rue & Janet van Niekerk about INLA, a fast, deterministic game-changer for inference at scale.
✅ Handles huge + complex models
✅ Works with non-Gaussian likelihoods
🎧 www.learnbayesstats.com/episode/136-...
@alex-andorra.bsky.social chats with Haavard Rue & Janet van Niekerk about INLA, a fast, deterministic game-changer for inference at scale.
✅ Handles huge + complex models
✅ Works with non-Gaussian likelihoods
🎧 www.learnbayesstats.com/episode/136-...
July 10, 2025 at 5:00 PM
Came across this 𝗲𝘅𝗰𝗲𝗹𝗹𝗲𝗻𝘁 𝗲𝘅𝗮𝗺𝗽𝗹𝗲 using the 𝗛𝗼𝗿𝘀𝗲𝘀𝗵𝗼𝗲 𝗣𝗿𝗶𝗼𝗿 — a powerful Bayesian tool for #SparseRegression — via the @pymc.io & Bambi ecosystem, so wanted to share it with you folks!
A big thanks to @aloctavodia.bsky.social & @tomicapretto.bsky.social for their great and continued work on this 🙏
A big thanks to @aloctavodia.bsky.social & @tomicapretto.bsky.social for their great and continued work on this 🙏
🧲 Got 50 predictors, but only 5 that matter?
Try the Horseshoe Prior — a Bayesian approach to sparse regression that shrinks noise, not signal.
Built with Bambi + @pymc.io
🔗 Full demo: bambinos.github.io/bambi/notebo...
#BayesianStatistics #Regression #HorseshoePrior #MarketingAnalytics #PyMC
Try the Horseshoe Prior — a Bayesian approach to sparse regression that shrinks noise, not signal.
Built with Bambi + @pymc.io
🔗 Full demo: bambinos.github.io/bambi/notebo...
#BayesianStatistics #Regression #HorseshoePrior #MarketingAnalytics #PyMC
July 9, 2025 at 1:18 PM
Came across this 𝗲𝘅𝗰𝗲𝗹𝗹𝗲𝗻𝘁 𝗲𝘅𝗮𝗺𝗽𝗹𝗲 using the 𝗛𝗼𝗿𝘀𝗲𝘀𝗵𝗼𝗲 𝗣𝗿𝗶𝗼𝗿 — a powerful Bayesian tool for #SparseRegression — via the @pymc.io & Bambi ecosystem, so wanted to share it with you folks!
A big thanks to @aloctavodia.bsky.social & @tomicapretto.bsky.social for their great and continued work on this 🙏
A big thanks to @aloctavodia.bsky.social & @tomicapretto.bsky.social for their great and continued work on this 🙏
Really looking forward to teaching a new PyMC tutorial, with the great Jesse Grabowski at PyData Berlin!
We'll teach how to do #StateSpaceModeling with @pymc.io -- and developing some new features just for this 😉
Come say hi if you're in Berlin September 1-3!
berlin.pydata.org/conferences/...
We'll teach how to do #StateSpaceModeling with @pymc.io -- and developing some new features just for this 😉
Come say hi if you're in Berlin September 1-3!
berlin.pydata.org/conferences/...
A Beginner's Guide to State Space Modeling - PyData Berlin 2025
**State Space Models** (SSMs) are powerful tools for time series analysis, widely used in finance, economics, ecology, and engineering. They allow researchers t... By Alexandre Andorra, Jesse Grabowsk...
berlin.pydata.org
July 2, 2025 at 7:45 PM
Really looking forward to teaching a new PyMC tutorial, with the great Jesse Grabowski at PyData Berlin!
We'll teach how to do #StateSpaceModeling with @pymc.io -- and developing some new features just for this 😉
Come say hi if you're in Berlin September 1-3!
berlin.pydata.org/conferences/...
We'll teach how to do #StateSpaceModeling with @pymc.io -- and developing some new features just for this 😉
Come say hi if you're in Berlin September 1-3!
berlin.pydata.org/conferences/...
New episode is out! A very practical one, where we dive into *how* to make sure your models *actually* answer the questions you're asking...
🔍 Most Bayesian models aren’t properly checked
Even when they converge, they might be wrong in ways you won’t see—unless you look differently
In this episode, Teemu Säilynoja joins @alex-andorra.bsky.social to explore, SBC, prior predictive checks and more!
🎧 learnbayesstats.com/episode/135-...
Even when they converge, they might be wrong in ways you won’t see—unless you look differently
In this episode, Teemu Säilynoja joins @alex-andorra.bsky.social to explore, SBC, prior predictive checks and more!
🎧 learnbayesstats.com/episode/135-...
June 28, 2025 at 10:50 PM
New episode is out! A very practical one, where we dive into *how* to make sure your models *actually* answer the questions you're asking...
ICYMI, I'll be in London next week, for a #LiveEpisode of the @learnbayesstats.bsky.social 🍾
Come say hi on June 24 at Imperial College London! We'll be talking about uncertainty quantification.
🎟️ www.eventbrite.co.uk/e/machine-le...
Come say hi on June 24 at Imperial College London! We'll be talking about uncertainty quantification.
🎟️ www.eventbrite.co.uk/e/machine-le...
June 18, 2025 at 6:14 PM
ICYMI, I'll be in London next week, for a #LiveEpisode of the @learnbayesstats.bsky.social 🍾
Come say hi on June 24 at Imperial College London! We'll be talking about uncertainty quantification.
🎟️ www.eventbrite.co.uk/e/machine-le...
Come say hi on June 24 at Imperial College London! We'll be talking about uncertainty quantification.
🎟️ www.eventbrite.co.uk/e/machine-le...
🎲 Bayesian Nerds Assemble! 🎲
Live panel on "Machine Learning & Uncertainty" at Imperial College London, June 24. I'm hosting, joined by Mélodie Monod, Yingzhen Li, and FX Briol.
Probability you'll have fun: extremely high!
Sign up before uncertainty sets in: www.eventbrite.co.uk/e/machine-le...
Live panel on "Machine Learning & Uncertainty" at Imperial College London, June 24. I'm hosting, joined by Mélodie Monod, Yingzhen Li, and FX Briol.
Probability you'll have fun: extremely high!
Sign up before uncertainty sets in: www.eventbrite.co.uk/e/machine-le...
Machine Learning & Uncertainty: Shaping the Next Decade
Statistical machine learning is powering groundbreaking advances, yet uncertainty quantification remains one of its biggest challenges.
www.eventbrite.co.uk
June 13, 2025 at 4:52 PM
🎲 Bayesian Nerds Assemble! 🎲
Live panel on "Machine Learning & Uncertainty" at Imperial College London, June 24. I'm hosting, joined by Mélodie Monod, Yingzhen Li, and FX Briol.
Probability you'll have fun: extremely high!
Sign up before uncertainty sets in: www.eventbrite.co.uk/e/machine-le...
Live panel on "Machine Learning & Uncertainty" at Imperial College London, June 24. I'm hosting, joined by Mélodie Monod, Yingzhen Li, and FX Briol.
Probability you'll have fun: extremely high!
Sign up before uncertainty sets in: www.eventbrite.co.uk/e/machine-le...
New episode is out!
We covered some of the most practical and under-discussed tools in #Bayesian econometrics:
🔷 #DynamicRegression
🔷 #StateSpaceModels
🔷 Predictively consistent priors
🔷 Bayesian R²
🔷 Whether AI could help us elicit better priors
We covered some of the most practical and under-discussed tools in #Bayesian econometrics:
🔷 #DynamicRegression
🔷 #StateSpaceModels
🔷 Predictively consistent priors
🔷 Bayesian R²
🔷 Whether AI could help us elicit better priors
Some people think R² doesn’t belong in Bayesian models
👇 David Kohns disagrees, and he has the math to back it
🎙️Ep. 134: @alex-andorra.bsky.social sits down with economist David Kohns to explore how modern Bayesian methods are reshaping time series modelling
🎧 learnbayesstats.com/episode/134-...
👇 David Kohns disagrees, and he has the math to back it
🎙️Ep. 134: @alex-andorra.bsky.social sits down with economist David Kohns to explore how modern Bayesian methods are reshaping time series modelling
🎧 learnbayesstats.com/episode/134-...
June 13, 2025 at 4:23 PM
New episode is out!
We covered some of the most practical and under-discussed tools in #Bayesian econometrics:
🔷 #DynamicRegression
🔷 #StateSpaceModels
🔷 Predictively consistent priors
🔷 Bayesian R²
🔷 Whether AI could help us elicit better priors
We covered some of the most practical and under-discussed tools in #Bayesian econometrics:
🔷 #DynamicRegression
🔷 #StateSpaceModels
🔷 Predictively consistent priors
🔷 Bayesian R²
🔷 Whether AI could help us elicit better priors
New episode is out! In this one we nerd out quite deep on zero-sum constraints, and how to make your model sample faster 💨
🎙️ Ep. 133 is out now!
@alex-andorra.bsky.social chats with @spinkney.bsky.social
& Adrian Seyboldt about making Bayesian models more efficient without losing rigor — zero-sum constraints, Cholesky tricks, practical wins & more
🎧 learnbayesstats.com/episode/133-...
#Bayesianstats #podcast #LBS
@alex-andorra.bsky.social chats with @spinkney.bsky.social
& Adrian Seyboldt about making Bayesian models more efficient without losing rigor — zero-sum constraints, Cholesky tricks, practical wins & more
🎧 learnbayesstats.com/episode/133-...
#Bayesianstats #podcast #LBS
Learning Bayesian Statistics – Laplace to be for new & veteran Bayesians alike!
Laplace to be for new & veteran Bayesians alike!
learnbayesstats.com
June 2, 2025 at 3:48 PM
New episode is out! In this one we nerd out quite deep on zero-sum constraints, and how to make your model sample faster 💨
New episode is out, where dive into how human brains work, and how this compares to #ArtificialIntelligence
🎙️ In episode #132 of LBS, @alex-andorra.bsky.social talks with Tom Griffiths about Bayesian cognition and human-AI interaction—how we learn from limited data, why priors matter, what AI gets wrong, and why solving real problems beats perfect models & more ...
🔗 learnbayesstats.com/episode/132-...
🔗 learnbayesstats.com/episode/132-...
May 19, 2025 at 3:04 PM
New episode is out, where dive into how human brains work, and how this compares to #ArtificialIntelligence
New episode is out, where we dive into how to actually make tough decisions once you have built, fit, and validated your Bayesian models 🤔
⚽️ New Learning Bayesian Stats ep!
@alex-andorra.bsky.social & Luke Bornn dive into how tracking data, probabilistic models & optimization are reshaping sports decisions.
🎧 Listen now: learnbayesstats.com/episode/131-...
#Datascience #Optimization #SportsAnalytics #BayesStats
#Decisionmaking
@alex-andorra.bsky.social & Luke Bornn dive into how tracking data, probabilistic models & optimization are reshaping sports decisions.
🎧 Listen now: learnbayesstats.com/episode/131-...
#Datascience #Optimization #SportsAnalytics #BayesStats
#Decisionmaking
May 2, 2025 at 4:18 PM
New episode is out, where we dive into how to actually make tough decisions once you have built, fit, and validated your Bayesian models 🤔
Reposted by Alexandre Andorra
🚨 LIVE SHOW ALERT 🚨
If you're a Patron, join us tomorrow April 24, 11:00am, US Eastern Time, with David Kohns, co-author of "The ARR2 Prior: Flexible Predictive Prior Definition for Bayesian Auto-Regressions" 🥳
👉 Patreon: www.patreon.com/c/learnbayes...
👉 YouTube: www.youtube.com/@learningbay...
If you're a Patron, join us tomorrow April 24, 11:00am, US Eastern Time, with David Kohns, co-author of "The ARR2 Prior: Flexible Predictive Prior Definition for Bayesian Auto-Regressions" 🥳
👉 Patreon: www.patreon.com/c/learnbayes...
👉 YouTube: www.youtube.com/@learningbay...
LinkedIn
This link will take you to a page that’s not on LinkedIn
lnkd.in
April 23, 2025 at 5:50 PM
🚨 LIVE SHOW ALERT 🚨
If you're a Patron, join us tomorrow April 24, 11:00am, US Eastern Time, with David Kohns, co-author of "The ARR2 Prior: Flexible Predictive Prior Definition for Bayesian Auto-Regressions" 🥳
👉 Patreon: www.patreon.com/c/learnbayes...
👉 YouTube: www.youtube.com/@learningbay...
If you're a Patron, join us tomorrow April 24, 11:00am, US Eastern Time, with David Kohns, co-author of "The ARR2 Prior: Flexible Predictive Prior Definition for Bayesian Auto-Regressions" 🥳
👉 Patreon: www.patreon.com/c/learnbayes...
👉 YouTube: www.youtube.com/@learningbay...
New episode just dropped! All about #EpidemiologicalModeling, #ScienceCommunication and #Epistemology
🧬 What does real-world impact look like when public health’s on the line?
🎙️ In episode 130 of LBS, @alex-andorra.bsky.social chats with Adam Kucharski on modelling, crisis response & lessons from recent epidemics.
🎧 Listen in: learnbayesstats.com/episode/130-...
🎙️ In episode 130 of LBS, @alex-andorra.bsky.social chats with Adam Kucharski on modelling, crisis response & lessons from recent epidemics.
🎧 Listen in: learnbayesstats.com/episode/130-...
April 17, 2025 at 4:10 PM
New episode just dropped! All about #EpidemiologicalModeling, #ScienceCommunication and #Epistemology
It was a great pleasure to host @vincefort.bsky.social to talk about everything #BayesianDeepLearning!
Thanks for the intro @marvinschmitt.com 🙏
Thanks for the intro @marvinschmitt.com 🙏
What if AI could know when it doesn’t know?
🎙️ @alex-andorra.bsky.social talks with @vincefort.bsky.social about Bayesian deep learning, why it matters for uncertainty, calibration & more
🎧 Tune in: learnbayesstats.com/episode/129-...
#BayesianDeepLearning #MachineLearning #ReliableAI #AIResearch
🎙️ @alex-andorra.bsky.social talks with @vincefort.bsky.social about Bayesian deep learning, why it matters for uncertainty, calibration & more
🎧 Tune in: learnbayesstats.com/episode/129-...
#BayesianDeepLearning #MachineLearning #ReliableAI #AIResearch
April 3, 2025 at 5:52 PM
It was a great pleasure to host @vincefort.bsky.social to talk about everything #BayesianDeepLearning!
Thanks for the intro @marvinschmitt.com 🙏
Thanks for the intro @marvinschmitt.com 🙏
New episode is out! How to build a winning Research group in a pro sports team, with Matthew Penn ⚽
⚽ Football is more than tactics and talent—it's driven by 𝐝𝐚𝐭𝐚. From 𝐩𝐥𝐚𝐲𝐞𝐫 𝐫𝐞𝐜𝐫𝐮𝐢𝐭𝐦𝐞𝐧𝐭 to 𝐦𝐚𝐭𝐜𝐡 𝐚𝐧𝐚𝐥𝐲𝐬𝐢𝐬, data science gives clubs a winning edge.
🎧 In the latest episode, @alex-andorra.bsky.social sits down with Matthew Penn to break it all down:
👉 learnbayesstats.com/episode/128-...
🎧 In the latest episode, @alex-andorra.bsky.social sits down with Matthew Penn to break it all down:
👉 learnbayesstats.com/episode/128-...
March 20, 2025 at 4:08 PM
New episode is out! How to build a winning Research group in a pro sports team, with Matthew Penn ⚽