Shows
The Rainmaker's Edge Perspective PodcastUnlocking AI's Legacy: Timeline History of Artificial IntelligenceWhat if the secrets to AI's past could unlock a brighter future for all of us? In this episode, we go over a fascinating new timeline article "Timeline History of Artificial Intelligence Milestones" from Histowiki.com Prepare for an enlightening journey as we unveil over two centuries of innovation, starting with Thomas Bayes' groundbreaking probability theorem in 1763. As we traverse the narrative of artificial intelligence, you'll encounter legendary figures like Alan Turing and pivotal moments such as the Dartmouth Conference of 1956, where AI was officially christened. From the ingenious creation of ELIZA to the dawn of physical AI with...2024-11-1327 min
the rohn reportthe new future‘What we want makes us more susceptible to what we don't need’. That’s what I realized today and decided to write about it. Kind of appropriate for the season don’t you think? We buy things to celebrate baby Jesus’ birthday. What? Black Friday is gone but the Christmas sales endure. Cyber Monday, Flash Sale. Signs decorated with Christmas decorations, red and green, proclaiming 15% off on everything. That’s a deal.Anyways, what I wanted to talk about, what I wanted to say . . . Well let me start from the beginning. Somewhere around 6 o'clock in th...2023-11-3012 min
Learning Bayesian StatisticsCausality in Neuroscience & Psychology, with Konrad KordingProudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!My Intuitive Bayes Online Courses1:1 Mentorship with meThis is another installment in our neuroscience modeling series! This time, I talked with Konrad Kording, about the role of Bayesian stats in neuroscience and psychology, electrophysiological data to study what neurons do, and how this helps explain human behavior.Konrad studied at ETH Zurich, then went to UC London and MIT for his postdocs. After a decade at Northwestern University, he is now Penn Integrated Knowledge Professor at the University...2023-06-131h 05Learning Bayesian StatisticsCausality in Neuroscience & Psychology, with Konrad KordingProudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!My Intuitive Bayes Online Courses1:1 Mentorship with meThis is another installment in our neuroscience modeling series! This time, I talked with Konrad Kording, about the role of Bayesian stats in neuroscience and psychology, electrophysiological data to study what neurons do, and how this helps explain human behavior.Konrad studied at ETH Zurich, then went to UC London and MIT for his postdocs. After a decade at Northwestern University, he is now Penn Integrated Knowledge Professor at the University...2023-06-131h 05
Learning Bayesian StatisticsNeuroscience of Perception: Exploring the Brain, with Alan StockerProudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!My Intuitive Bayes Online Courses1:1 Mentorship with meDid you know that the way your brain perceives speed depends on your priors? And it’s not the same at night? And it’s not the same for everybody?This is another of these episodes I love where we dive into neuroscience, how the brain works, and how it relates to Bayesian stats. It’s actually a follow-up to episode 77, where Pascal Wallisch told us how the famous black and blue d...2023-04-241h 14Learning Bayesian StatisticsNeuroscience of Perception: Exploring the Brain, with Alan StockerProudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!My Intuitive Bayes Online Courses1:1 Mentorship with meDid you know that the way your brain perceives speed depends on your priors? And it’s not the same at night? And it’s not the same for everybody?This is another of these episodes I love where we dive into neuroscience, how the brain works, and how it relates to Bayesian stats. It’s actually a follow-up to episode 77, where Pascal Wallisch told us how the famous black and blue d...2023-04-241h 14
Dogma : Cults, Conspiracy & Secret SocietiesRichard Carrier - Proving History: Bayes's Theorem and the Quest for the Historical JesusAnyone with an interest in historical methods, how historical knowledge can be justified, new applications of Bayes's Theorem, or the study of the historical Jesus will find this book to be essential reading. Almost all experts agree that the Jesus of the Bible is a composite of myth, legend, and some historical evidence. So what can we know about the real Jesus? For more than 150 years, scholars have attempted to answer this question.Unfortunately, the quest for the historical Jesus has produced as many different images of the original Jesus as scholars who have studied the subject...2022-11-2946 min
Learning Bayesian StatisticsTeaching Bayes for Biology & Biological Engineering, with Justin BoisProudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!Back in 2016, when I started dedicating my evenings and weekends to learning how to code and do serious stats, I was a bit lost… Where do I start? Which language do I pick? Why are all those languages just named with one single letter??Then I found some stats classes by Justin Bois — and it was a tremendous help to get out of that wood (and yes, this was a pun). I really loved Justin’s teaching because he was making...2022-10-221h 05Learning Bayesian StatisticsTeaching Bayes for Biology & Biological Engineering, with Justin BoisProudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!Back in 2016, when I started dedicating my evenings and weekends to learning how to code and do serious stats, I was a bit lost… Where do I start? Which language do I pick? Why are all those languages just named with one single letter??Then I found some stats classes by Justin Bois — and it was a tremendous help to get out of that wood (and yes, this was a pun). I really loved Justin’s teaching because he was making...2022-10-221h 05
Learning Bayesian StatisticsWhy, When & How to use Bayes Factors, with Jorge TendeiroProudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!A great franchise comes with a great rivalry: Marvel has Iron Man and Captain America; physics has General Relativity and Quantum Physics; and Bayesian stats has Posterior Estimation and… Bayes Factors!A few months ago, I had the pleasure of hosting EJ Wagenmakers, to talk about these topics. This time, I’m talking with Jorge Tendeiro, who has a different perspective on Null Hypothesis Testing in the Bayesian framework, and its relationship with generative models and posterior estimation.But...2022-10-0553 minLearning Bayesian StatisticsWhy, When & How to use Bayes Factors, with Jorge TendeiroProudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!A great franchise comes with a great rivalry: Marvel has Iron Man and Captain America; physics has General Relativity and Quantum Physics; and Bayesian stats has Posterior Estimation and… Bayes Factors!A few months ago, I had the pleasure of hosting EJ Wagenmakers, to talk about these topics. This time, I’m talking with Jorge Tendeiro, who has a different perspective on Null Hypothesis Testing in the Bayesian framework, and its relationship with generative models and posterior estimation.But...2022-10-0553 min
Learning Bayesian StatisticsMedia Mix Models & Bayes for Marketing, with Luciano PazProudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!Inviting someone like Luciano Paz on a stats podcast is both a pleasure and a challenge — he does so many things brilliantly that you have too many questions to ask him…In this episode, I’ve chosen — not without difficulty — to focus on the applications of Bayesian stats in the marketing industry, especially Media Mix Models. Ok, I also asked Luciano about other topics — but you know me, I like to talk…Originally, Luciano studied physics. He then did a PhD and...2022-06-281h 14Learning Bayesian StatisticsMedia Mix Models & Bayes for Marketing, with Luciano PazProudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!Inviting someone like Luciano Paz on a stats podcast is both a pleasure and a challenge — he does so many things brilliantly that you have too many questions to ask him…In this episode, I’ve chosen — not without difficulty — to focus on the applications of Bayesian stats in the marketing industry, especially Media Mix Models. Ok, I also asked Luciano about other topics — but you know me, I like to talk…Originally, Luciano studied physics. He then did a PhD and...2022-06-281h 14
Learning Bayesian StatisticsWhy we still use non-Bayesian methods, with EJ WagenmakersThe big problems with classic hypothesis testing are well-known. And yet, a huge majority of statistical analyses are still conducted this way. Why is it? Why are things so hard to change? Can you even do (and should you do) hypothesis testing in the Bayesian framework?I guess if you wanted to name this episode in a very Marvelian way, it would be “Bayes factors against the p-values of madness” — but we won’t do that, it wouldn’t be appropriate, would it?Anyways, in this episode, I’ll talk about all these very light and consensu...2022-05-191h 16Learning Bayesian StatisticsWhy we still use non-Bayesian methods, with EJ WagenmakersThe big problems with classic hypothesis testing are well-known. And yet, a huge majority of statistical analyses are still conducted this way. Why is it? Why are things so hard to change? Can you even do (and should you do) hypothesis testing in the Bayesian framework?I guess if you wanted to name this episode in a very Marvelian way, it would be “Bayes factors against the p-values of madness” — but we won’t do that, it wouldn’t be appropriate, would it?Anyways, in this episode, I’ll talk about all these very light and consensu...2022-05-191h 16
Learning Bayesian StatisticsModeling Dialogues & Languages, with J.P. de RuiterWhy do we, humans, communicate? And how? And isn’t that a problem that to study communication we have to… communicate?Did you ever ask yourself that? Because J.P. de Ruiter did — and does everyday. But he’s got good reasons: JP is a cognitive scientist whose primary research focus is on the cognitive foundations of human communication. He aims to improve our understanding of how humans and artificial agents use language, gesture and other types of signals to effectively communicate with each other.Currently he has one of the two Bridge Professorship at Tufts Uni...2022-04-301h 12Learning Bayesian StatisticsModeling Dialogues & Languages, with J.P. de RuiterWhy do we, humans, communicate? And how? And isn’t that a problem that to study communication we have to… communicate?Did you ever ask yourself that? Because J.P. de Ruiter did — and does everyday. But he’s got good reasons: JP is a cognitive scientist whose primary research focus is on the cognitive foundations of human communication. He aims to improve our understanding of how humans and artificial agents use language, gesture and other types of signals to effectively communicate with each other.Currently he has one of the two Bridge Professorship at Tufts Uni...2022-04-301h 12
Learning Bayesian StatisticsBayesian Modeling in Civil Engineering, with Michael FaberIn large-scale one-off civil infrastructure, decision-making under uncertainty is part of the job, that’s just how it is. But, civil engineers don't get the luxury of building 10^6 versions of the bridge, offshore wind turbine or aeronautical structure to consider a relative frequency interpretation!And as you’ll hear, challenges don’t stop there: you also have to consider natural hazards such as earthquakes, rockfall and typhoons — in case you were wondering, civil engineering is not among the boring jobs!To talk about these original topics, I had the pleasure to host Michael Faber. Michael is a Pro...2022-04-1459 minLearning Bayesian StatisticsBayesian Modeling in Civil Engineering, with Michael FaberIn large-scale one-off civil infrastructure, decision-making under uncertainty is part of the job, that’s just how it is. But, civil engineers don't get the luxury of building 10^6 versions of the bridge, offshore wind turbine or aeronautical structure to consider a relative frequency interpretation!And as you’ll hear, challenges don’t stop there: you also have to consider natural hazards such as earthquakes, rockfall and typhoons — in case you were wondering, civil engineering is not among the boring jobs!To talk about these original topics, I had the pleasure to host Michael Faber. Michael is a Pro...2022-04-1459 min
Turing’s Triple HelixTowards a Vision for Next-Generation AIIn this episode, we discussed what is meant by next-generation AI and what might be some of the next steps in AI development. The podcast acts as a teaser for the upcoming event organised by the University of Edinburgh, the Bayes Centre, and the Alan Turing Institute that aims to bring together the UK AI community to develop a vision and roadmap for future AI research.
Guests:
Professor Subramanian Ramamoorthy, Chair of Robot Learning and Autonomy and Director of the Institute of Perception, Action and Behaviour at the University of Edinburgh School of Informatics.
Professor Michael...2022-03-0735 min
Learning Bayesian StatisticsForecasting French Elections, with... Mystery GuestNo, no, don't leave! You did not click on the wrong button. You are indeed on Alex Andorra’s podcast. The podcast that took the Bayesian world by a storm: “Learning Bayesian Statistics”, and that Barack Obama deemed “the best podcast in the whole galaxy” – or maybe Alex said that, I don’t remember.Alex made us discover new methods, new ideas, and mostly new people. But what do we really know about him? Does he even really exist? To find this out I put on my Frenchest beret, a baguette under my arm, and went undercover to try to find...2022-03-031h 21Learning Bayesian StatisticsForecasting French Elections, with... Mystery GuestNo, no, don't leave! You did not click on the wrong button. You are indeed on Alex Andorra’s podcast. The podcast that took the Bayesian world by a storm: “Learning Bayesian Statistics”, and that Barack Obama deemed “the best podcast in the whole galaxy” – or maybe Alex said that, I don’t remember.Alex made us discover new methods, new ideas, and mostly new people. But what do we really know about him? Does he even really exist? To find this out I put on my Frenchest beret, a baguette under my arm, and went undercover to try to find...2022-03-031h 21
Data & Science with Glen Wright ColopyChris Holmes | AI, Digital Health, & The Alan Turing InstituteChris Holmes is Professor of Biostatistics at the University of Oxford and Programme Director for Health and Medical Sciences at The Alan Turing Institute. Chris’ research interests include Bayesian nonparametrics (which is the right kind of nonparametrics), statistical machine learning, genomics, and genetic epidemiology.
0:00 - Intro
1:38 - Chris Holmes, Professor of Biostatistics at Oxford University
3:28 - UK Biobank & designing a valuable dataset
8:42 - Healthcare charities in the UK
11:16 - Digital Health: prioritizing research questions
19:55 - Bayes, nonparametrics, and Bayesian nonparametrics
23:30 - Model prediction is at the heart of Bayesian inference
28:00...2022-02-091h 03
Learning Bayesian StatisticsBayes in Theoretical Ecology, with Florian HartigLet’s be honest: evolution is awesome! I started reading Improbable Destinies: Fate, Chance, and the Future of Evolution, by Jonathan Losos, and I’m utterly fascinated. So I’m thrilled to welcome Florian Hartig on the show. Florian is a professor of Theoretical Ecology at the University of Regensburg, Germany. His research concentrates on theory, computer simulations, statistical methods and machine learning in ecology & evolution. He is also interested in open science and open software development, and maintains, among other projects, the R packages DHARMa and BayesianTools.Among other things, we talked about approximate Bayesian...2022-01-141h 08Learning Bayesian StatisticsBayes in Theoretical Ecology, with Florian HartigLet’s be honest: evolution is awesome! I started reading Improbable Destinies: Fate, Chance, and the Future of Evolution, by Jonathan Losos, and I’m utterly fascinated. So I’m thrilled to welcome Florian Hartig on the show. Florian is a professor of Theoretical Ecology at the University of Regensburg, Germany. His research concentrates on theory, computer simulations, statistical methods and machine learning in ecology & evolution. He is also interested in open science and open software development, and maintains, among other projects, the R packages DHARMa and BayesianTools.Among other things, we talked about approximate Bayesian...2022-01-141h 08
The Hopeful Activists' PodcastThe Arms Trade: Hope for the PeacemakersBeth and Abi look at the Arms Trade, and activists who are fighting for peace, including Mary Sprunger-Frose who has spilled her own blood at nuclear weapons facilities, and Mike Martin, who turns guns into garden tools with the help people impacted by gun violence.Grateful thanks to:Alan StorkeyAlan StorkeyGuardian Investigative ArticleMariam TadrosInternational AlertCommunity Score Card informationMary Sprunger-FroseStrength in CommunityMike MartinRawToolsBeating Guns ...2021-12-171h 50
Whitgift ConversationsChaplain at Whitgift School, Alan Bayes#007 - Welcome back to Whitgift Conversations, the podcast where we talk to staff, parents and pupils about topics that are relevant to you. In this episode we’re speaking to the Chaplain at Whitgift School, Alan Bayes. We’ll find out what the responsibilities of the Chaplain are, how Alan provides support to all pupils regardless of faith and the relationship between the school and the Croydon Minster. But we’ll also explore charity work and how the school and students get involved. So come with me now as we talk to the Chapla...2021-12-1424 min
Learning Bayesian StatisticsBernoulli's Fallacy & the Crisis of Modern Science, with Aubrey ClaytonYou know I love epistemology — the study of how we know what we know. It was high time I dedicated a whole episode to this topic. And what better guest than Aubrey Clayton, the author of the book Bernoulli's Fallacy: Statistical Illogic and the Crisis of Modern Science. I’m in the middle of reading it, and it’s a really great read!Aubrey is a mathematician in Boston who teaches the philosophy of probability and statistics at the Harvard Extension School. He holds a PhD in mathematics from the University of California, Berkeley, and his writing has ap...2021-11-221h 09Learning Bayesian StatisticsBernoulli's Fallacy & the Crisis of Modern Science, with Aubrey ClaytonYou know I love epistemology — the study of how we know what we know. It was high time I dedicated a whole episode to this topic. And what better guest than Aubrey Clayton, the author of the book Bernoulli's Fallacy: Statistical Illogic and the Crisis of Modern Science. I’m in the middle of reading it, and it’s a really great read!Aubrey is a mathematician in Boston who teaches the philosophy of probability and statistics at the Harvard Extension School. He holds a PhD in mathematics from the University of California, Berkeley, and his writing has ap...2021-11-221h 09
Penguin AudioAudiolibro: Todas las almas - Javier MaríasEscucha este audiolibro completo, aquí: https://bit.ly/3DGtBpqNarrador: Arturo LópezY fuera de ambos viven los cautivadores personajes de esta novela: la amante casada del narrador, Clare Bayes, una mujer condicionada por algo a lo que asistió pero que no recuerda; el amigo Cromer-Blake, homosexual irónico que vive fabricando experiencias intensas para una vejez que prevé solitaria; el ya retirado y sagaz profesor Toby Rylands; el merodeador Alan Marriott, con su perro de tres patas y sus conocimientos sobre la «pareja espantosa» que todos tenemos; y muchos otros, algunos extraord...2021-11-1504 min
Learning Bayesian StatisticsThe Present & Future of Baseball Analytics, with Ehsan BokhariIt’s been a while since I did an episode about sports analytics, right? And you know it’s a field I love, so… let’s do that!For this episode, I was happy to host Ehsan Bokhari, not only because he’s a first-hour listener of the podcast and spread the word about it whenever he can, but mainly because he knows baseball analytics very well!Currently Senior Director of Strategic Decision Making with the Houston Astros, he previously worked there as Senior Director of Player Evaluation and Director of R&D. And before that, he w...2021-10-221h 12Learning Bayesian StatisticsThe Present & Future of Baseball Analytics, with Ehsan BokhariIt’s been a while since I did an episode about sports analytics, right? And you know it’s a field I love, so… let’s do that!For this episode, I was happy to host Ehsan Bokhari, not only because he’s a first-hour listener of the podcast and spread the word about it whenever he can, but mainly because he knows baseball analytics very well!Currently Senior Director of Strategic Decision Making with the Houston Astros, he previously worked there as Senior Director of Player Evaluation and Director of R&D. And before that, he w...2021-10-221h 12
Learning Bayesian StatisticsMixed Effects Models & Beautiful Plots, with TJ MahrIn episode 40, we already got a glimpse of how useful Bayesian stats are in the speech and communication sciences. To talk about the frontiers of this field (and, as it happens, about best practices to make beautiful plots and pictures), I invited TJ Mahr on the show.A speech pathologist turned data scientist, TJ earned his PhD in communication sciences and disorders in Madison, Wisconsin. On paper, he was studying speech development, word recognition and word learning in preschoolers, but over the course of his graduate training, he discovered that he really, really likes programming and working...2021-10-081h 01Learning Bayesian StatisticsMixed Effects Models & Beautiful Plots, with TJ MahrIn episode 40, we already got a glimpse of how useful Bayesian stats are in the speech and communication sciences. To talk about the frontiers of this field (and, as it happens, about best practices to make beautiful plots and pictures), I invited TJ Mahr on the show.A speech pathologist turned data scientist, TJ earned his PhD in communication sciences and disorders in Madison, Wisconsin. On paper, he was studying speech development, word recognition and word learning in preschoolers, but over the course of his graduate training, he discovered that he really, really likes programming and working...2021-10-081h 01
Learning Bayesian StatisticsBayes in Physics & Astrophysics, with JJ RubyThe field of physics has brought tremendous advances to modern Bayesian statistics, especially inspiring the current algorithms enabling all of us to enjoy the Bayesian power on our own laptops.I did receive some physicians already on the show, like Michael Betancourt in episode 6, but in my legendary ungratefulness I hadn’t dedicated a whole episode to talk about physics yet.Well that’s now taken care of, thanks to JJ Ruby. Apart from having really good tastes (he’s indeed a fan of this very podcast), JJ is currently a postdoctoral fellow for the Center...2021-09-211h 15Learning Bayesian StatisticsBayes in Physics & Astrophysics, with JJ RubyThe field of physics has brought tremendous advances to modern Bayesian statistics, especially inspiring the current algorithms enabling all of us to enjoy the Bayesian power on our own laptops.I did receive some physicians already on the show, like Michael Betancourt in episode 6, but in my legendary ungratefulness I hadn’t dedicated a whole episode to talk about physics yet.Well that’s now taken care of, thanks to JJ Ruby. Apart from having really good tastes (he’s indeed a fan of this very podcast), JJ is currently a postdoctoral fellow for the Center...2021-09-211h 15
Learning Bayesian StatisticsBiostats & Clinical Trial Design, with Frank HarrellAs a podcaster, I discovered that there are guests for which the hardest is to know when to stop the conversation. They could talk for hours and that would make for at least 10 fantastic episodes. Frank Harrell is one of those guests. To me, our conversation was both fascinating — thanks to Frank’s expertise and the width and depth of topics we touched on — and frustrating — I still had a gazillion questions for him!But rest assured, we talked about intent to treat and randomization, proportional odds, clinical trial design, bio stats and covid19, and even which mistakes...2021-08-101h 08Learning Bayesian StatisticsBiostats & Clinical Trial Design, with Frank HarrellAs a podcaster, I discovered that there are guests for which the hardest is to know when to stop the conversation. They could talk for hours and that would make for at least 10 fantastic episodes. Frank Harrell is one of those guests. To me, our conversation was both fascinating — thanks to Frank’s expertise and the width and depth of topics we touched on — and frustrating — I still had a gazillion questions for him!But rest assured, we talked about intent to treat and randomization, proportional odds, clinical trial design, bio stats and covid19, and even which mistakes...2021-08-101h 08
Learning Bayesian StatisticsBuilding Bayesian Models at scale, with Rémi LoufEpisode sponsored by Paperpile: paperpile.comGet 20% off until December 31st with promo code GOODBAYESIAN21Bonjour my dear Bayesians! Yes, it was bound to happen one day — and this day has finally come. Here is the first ever 100% French speaking ‘Learn Bayes Stats’ episode! Who is to blame, you ask? Well, who better than Rémi Louf?Rémi currently works as a senior data scientist at Ampersand, a big media marketing company in the US. He is the author and maintainer of several open source libraries, including MCX and BlackJAX. He holds a PhD in...2021-07-221h 15Learning Bayesian StatisticsBuilding Bayesian Models at scale, with Rémi LoufEpisode sponsored by Paperpile: paperpile.comGet 20% off until December 31st with promo code GOODBAYESIAN21Bonjour my dear Bayesians! Yes, it was bound to happen one day — and this day has finally come. Here is the first ever 100% French speaking ‘Learn Bayes Stats’ episode! Who is to blame, you ask? Well, who better than Rémi Louf?Rémi currently works as a senior data scientist at Ampersand, a big media marketing company in the US. He is the author and maintainer of several open source libraries, including MCX and BlackJAX. He holds a PhD in...2021-07-221h 15
Learning Bayesian StatisticsHow to Teach and Learn Bayesian Stats, with Mine DogucuEpisode sponsored by Paperpile: paperpile.comGet 20% off until December 31st with promo code GOODBAYESIAN21We often talk about applying Bayesian statistics on this podcast. But how do we teach them? What’s the best way to introduce them from a young age and make sure the skills students learn in the stats class are transferable?Well, lucky us, Mine Dogucu’s research tackles precisely those topics!An Assistant Professor of Teaching in the Department of Statistics at University of California Irvine, Mine is both an educator with an interest in stat...2021-06-241h 06Learning Bayesian StatisticsHow to Teach and Learn Bayesian Stats, with Mine DogucuEpisode sponsored by Paperpile: paperpile.comGet 20% off until December 31st with promo code GOODBAYESIAN21We often talk about applying Bayesian statistics on this podcast. But how do we teach them? What’s the best way to introduce them from a young age and make sure the skills students learn in the stats class are transferable?Well, lucky us, Mine Dogucu’s research tackles precisely those topics!An Assistant Professor of Teaching in the Department of Statistics at University of California Irvine, Mine is both an educator with an interest in stat...2021-06-241h 06
Learning Bayesian StatisticsThinking Bayes, with Allen DowneyLet’s think Bayes, shall we? And who better to do that than the author of the well known book, Think Bayes — Allen Downey himself! Since the second edition was just released, the timing couldn’t be better!Allen is a professor at Olin College and the author of books related to software and data science, including Think Python, Think Bayes, and Think Complexity. His blog, Probably Overthinking It, features articles on Bayesian probability and statistics. He holds a Ph.D. from U.C. Berkeley, and bachelors and masters degrees from MIT.In this special episod...2021-06-141h 04Learning Bayesian StatisticsThinking Bayes, with Allen DowneyLet’s think Bayes, shall we? And who better to do that than the author of the well known book, Think Bayes — Allen Downey himself! Since the second edition was just released, the timing couldn’t be better!Allen is a professor at Olin College and the author of books related to software and data science, including Think Python, Think Bayes, and Think Complexity. His blog, Probably Overthinking It, features articles on Bayesian probability and statistics. He holds a Ph.D. from U.C. Berkeley, and bachelors and masters degrees from MIT.In this special episod...2021-06-141h 04
Learning Bayesian StatisticsSurvival Models & Biostatistics for Cancer Research, with Jacki BurosEpisode sponsored by Tidelift: tidelift.comIt’s been a while since we talked about biostatistics and bioinformatics on this podcast, so I thought it could be interesting to talk to Jacki Buros — and that was a very good idea!She’ll walk us through examples of Bayesian models she uses to, for instance, work on biomarker discovery for cancer immunotherapies. She’ll also introduce you to survival models — their usefulness, their powers and their challenges.Interestingly, all of this will highlight a handful of skills that Jacki would try to instill in her studen...2021-05-1459 minLearning Bayesian StatisticsSurvival Models & Biostatistics for Cancer Research, with Jacki BurosEpisode sponsored by Tidelift: tidelift.comIt’s been a while since we talked about biostatistics and bioinformatics on this podcast, so I thought it could be interesting to talk to Jacki Buros — and that was a very good idea!She’ll walk us through examples of Bayesian models she uses to, for instance, work on biomarker discovery for cancer immunotherapies. She’ll also introduce you to survival models — their usefulness, their powers and their challenges.Interestingly, all of this will highlight a handful of skills that Jacki would try to instill in her studen...2021-05-1459 min
Selçuk Üniversitesi Hukuk AkademisiYapay Zeka ve Hukuk Zirvesi I Yapay Zeka Nedir? / Dr. Öğr. Üyesi Şebnem Özdemir | Hukuk AkademisiBu etkinliğimizde Yapay Zekanın ne olduğunu, günümüzün gelişen sistemlerinde kendisine nasıl yer bulduğunu ve bunun gibi akıllara gelen pek çok soruya Dr. Öğr. Üyesi Şebnem Özdemir ile yanıt bulduğumuz programımız sizlerle...Selçuk Üniversitesi Hukuk Akademisi Topluluğu olarak hukuk fakültesi öğrencilerinin entelektüel bilgi birikimlerini artırmak, hukuki bakış açılarını geliştirmek ve sosyalleşmelerini sağlamak amacıyla çeşitli hukuki konularda alanında uzman konuklarla birlikte içerik üretmeye hız kesmeden devam ediyoruz.0:00 Yapay zeka kültürü 8:30 Yapay zeka yapay zekaya karşı 10:48 Veri bilimi - Y...2021-05-1051 min
Learning Bayesian StatisticsMultilevel Regression, Post-stratification & Missing Data, with Lauren KennedyEpisode sponsored by Tidelift: tidelift.comWe already mentioned multilevel regression and post-stratification (MRP, or Mister P) on this podcast, but we didn’t dedicate a full episode to explaining how it works, why it’s useful to deal with non-representative data, and what its limits are. Well, let’s do that now, shall we?To that end, I had the delight to talk with Lauren Kennedy! Lauren is a lecturer in Business Analytics at Monash University in Melbourne, Australia, where she develops new statistical methods to analyze social science data. Working mainly with R and St...2021-02-251h 12Learning Bayesian StatisticsMultilevel Regression, Post-stratification & Missing Data, with Lauren KennedyEpisode sponsored by Tidelift: tidelift.comWe already mentioned multilevel regression and post-stratification (MRP, or Mister P) on this podcast, but we didn’t dedicate a full episode to explaining how it works, why it’s useful to deal with non-representative data, and what its limits are. Well, let’s do that now, shall we?To that end, I had the delight to talk with Lauren Kennedy! Lauren is a lecturer in Business Analytics at Monash University in Melbourne, Australia, where she develops new statistical methods to analyze social science data. Working mainly with R and St...2021-02-251h 12
La Quarta Llei de NewtonAlan Turing: "Fitting" de la Quarta LleiCelebrem l'arribada del nou any georgià meravellant-nos amb el teorema de Bayes i amb la probabilitat en general. Una bona ració de bionumbers, PCRs i els inesperats falsos positius. Però per inesperades, les vostres visualitzacions. Amb el permís d'Àlex Arenas, ens iniciem en l'art d'ajustar models i intentem entreveure qui sou realment vosaltres i si la Quarta Llei de Newton té un target clar. Després del tràngol, tornem amb la biografia d'Alan Turing, un geni que va revolucionar el món de la informàtica i la matemàtica i que, per la seva orientació sexual, va p...2021-01-2042 min
Learning Bayesian Statistics#28 Game Theory, Industrial Organization & Policy Design, with Shosh VassermanIn times of crisis, designing an efficient policy response is paramount. In case of natural disasters or pandemics, it can even determine the difference between life and death for a substantial number of people. But precisely, how do you design such policy responses, making sure that risks are optimally shared, people feel safe enough to reveal necessary information, and stakeholders commit to the policies?That’s where a field of economics, industrial organization (IO), can help, as Shosh Vasserman will tell us in this episode. Shosh is an assistant professor of economics at the Stanford Graduate School of...2020-11-201h 03Learning Bayesian Statistics#28 Game Theory, Industrial Organization & Policy Design, with Shosh VassermanIn times of crisis, designing an efficient policy response is paramount. In case of natural disasters or pandemics, it can even determine the difference between life and death for a substantial number of people. But precisely, how do you design such policy responses, making sure that risks are optimally shared, people feel safe enough to reveal necessary information, and stakeholders commit to the policies?That’s where a field of economics, industrial organization (IO), can help, as Shosh Vasserman will tell us in this episode. Shosh is an assistant professor of economics at the Stanford Graduate School of...2020-11-201h 03
Learning Bayesian Statistics#19 Turing, Julia and Bayes in Economics, with Cameron PfifferDo you know Turing? Of course you do! With Soss and Gen, it’s one of the blockbusters to do probabilistic programming in Julia. And in this episode Cameron Pfiffer will tell us all about it — how it came to life, how it fits into the probabilistic programming landscape, and what its main strengths and weaknesses are.Cameron did some Rust, some Python, but he especially loves coding in Julia. That’s also why he’s one of the core-developers of Turing.jl. He’s also a PhD student in finance at the University of Oregon and did his ma...2020-07-031h 00Learning Bayesian Statistics#19 Turing, Julia and Bayes in Economics, with Cameron PfifferDo you know Turing? Of course you do! With Soss and Gen, it’s one of the blockbusters to do probabilistic programming in Julia. And in this episode Cameron Pfiffer will tell us all about it — how it came to life, how it fits into the probabilistic programming landscape, and what its main strengths and weaknesses are.Cameron did some Rust, some Python, but he especially loves coding in Julia. That’s also why he’s one of the core-developers of Turing.jl. He’s also a PhD student in finance at the University of Oregon and did his ma...2020-07-031h 00
The Random SampleBayes' Theorem: The Past & the FutureBayesian statistics help decide what email you get is spam. It can assess security and medical risks, decode DNA, enhance blurry pictures, help explain stock market volatility, predict the spread of an infectious disease, and its methods were even used by Alan Turing in World War 2 to crack the secret of the Nazi enigma code. In this episode, we explore the history of Bayes' theorem, the ideas behind it, and why it's really becoming a powerful statistical tool in the 21st century. The Random Sample is a podcast by the Australian Research Council Centre of Excellence for Mathematical and Statistical...2020-06-1644 min
Dinis Guarda YouTube Podcast Series - Powered by citiesabc.com and businessabc.netcitiesabc interview: Michael Rovatsos Prof AI University Of Edinburgh, Director of Bayes CentreProf Michael Rovatsos is Professor of Artificial Intelligence at the University of Edinburgh, and Director of the Bayes Centre, the University’s innovation hub for Data Science and AI. He also represents the University at the Alan Turing Institute, the UK’s national institute for Data Science and AI. In his research he develops AI algorithms and architectures to support collaboration between humans, e.g. in sharing economy, electronic commerce, or logistics applications. In recent years, much of his work has focused on ethical aspects of AI, primarily through the development of methods for designing fair and diversity-aware AI algo...2020-06-161h 14
What's Your Prior?The Preacher from 1700’s England who Taught Wall Street how to CountAn introduction to the ideas behind this podcast, to the Reverend Thomas Bayes, why this podcast is named "What's Your Prior," and to your host, Damian Handzy. This is a good place for an intro, especially if you've joined in the middle of the series, to get some background on the podcast series, before going to the most recent episode.Mentioned in this episode:Bayesian Thinking (these two videos - video1 and video2 - have good examples)Alan Turing (not mentioned but worth visiting - Blechley Park where Alan Turing cracked the enigma...2020-06-0509 min
AI in Education PodcastA Brief History of AIKeeping the theme of education and learning, this episode will provide a look back, way back in to the human obsession with creating artificial replicas of themselves. When did it start, who started it, what is the AI winter and how did it accelerate so quickly in the last 10 years. Talos: https://greekmythology.wikia.org/wiki/Talos Issac Assimov - https://en.wikipedia.org/wiki/Robot_series Uncanny Valley -https://en.wikipedia.org/wiki/Uncanny_valley Bayes Theorem - https://en.wikipedia.org/wiki/Bayes%27_theorem Rossums Universal Robots - https://en.wikipedia.org/wiki/R.U.R. Ala...2020-05-2540 min
FounderQuestFounderQuest Clips - Too Hot For Podcast Vol 1Show Notes:This week on FounderQuest, it's a cutting room floor clips episode. Hear vintage, unreleased clips of episodes that you weren't supposed to hear. Discussions include: 90's software stores, Alan Turing, water heaters, buying top quality spyware dongles from China and even FounderQuest itself! Links:WishApple Arcade BearDay One Babbage’sUsenetSpencer’s GiftsCharles BabbageAlan TuringNaive BayesWhat The GolfNintendo SwitchFull Transcript:Ben...2020-04-1016 min
Open BayesEmission 2 - Mathis DruelleNotre invité : Mathis Druelle, étudiant à Sciences Po Grenoble, il s’est découvert une passion pour l’art oratoire. Il a gagné de nombreux concours d’éloquence, et fait la fierté de la région grenobloise avec sa deuxième place au concours international Eloquentia. La prochaine étape pour lui, le développement de son seul-en-scène dont il va nous parler.
Au sommaire d’une émission essentiellement consacrée à l’éloquence, au théâtre et à la prise de parole en public :
1) Le portrait chinois de l’invité
Le livre que serait Mathis : Des fleurs pour Al...2019-11-2100 min
escuchAIDeep Learning y Alan Turing - Episodio 05En este capítulo Diego y Simón nos cuentan sobre deep leaerning, qué es y cuales han sido sus mayores ventajas. Además comentan sobre la vida de Alan Turing como científico de la computación y a su aparición en los billetes de 50 libras en Reino Unido.
Recomendaciones:
- GTP-2 de OpenAI https://openai.com/blog/better-language-models/
- Charla de Geoff Hinton https://youtu.be/re-SRA5UZQw?t=292
- The Book of WHY de Judea Pearl (en inglés) http://bayes.cs.ucla.edu/WHY/
- Biblioteca Keras para redes neuronales https://keras.io2019-08-0725 min