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Statistical Modeling Podcasts

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Normal Curves: Sexy Science, Serious Statistics

Regina Nuzzo and Kristin Sainani

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Normal Curves is a podcast about sexy science & serious statistics. Ever try to make sense of a scientific study and the numbers behind it? Listen in to a lively conversation between two stats-savvy friends who break it all down with humor and clarity. Professors Regina Nuzzo of Gallaudet University and Kristin Sainani of Stanford University discuss academic papers journal club-style — except with more fun, less jargon, and some irreverent, PG-13 content sprinkled in. Join Kristin and Regina ...
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Data Skeptic

Kyle Polich

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The Data Skeptic Podcast features interviews and discussion of topics related to data science, statistics, machine learning, artificial intelligence and the like, all from the perspective of applying critical thinking and the scientific method to evaluate the veracity of claims and efficacy of approaches.
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Quantitude

Greg Hancock & Patrick Curran

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A podcast dedicated to all things quantitative, ranging from the relevant to the highly irrelevant. Co-hosts Patrick Curran and Greg Hancock talk about serious statistical topics, but without taking themselves too seriously. Think: CarTalk hi-jacked by the two grumpy old guys from the Muppets, grousing about quantitative methods, statistics, and data analysis, all presented to you with the production value of a 6th grade school project. But in a good way.
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Are you a researcher or data scientist / analyst / ninja? Do you want to learn Bayesian inference, stay up to date or simply want to understand what Bayesian inference is? Then this podcast is for you! You'll hear from researchers and practitioners of all fields about how they use Bayesian statistics, and how in turn YOU can apply these methods in your modeling workflow. When I started learning Bayesian methods, I really wished there were a podcast out there that could introduce me to the me ...
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The So What from BCG

Boston Consulting Group BCG

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This podcast from Boston Consulting Group looks around the corner of today’s big business and social issues. The goal–the so what–is to make sense of today and prepare busy leaders and executives for the day after tomorrow. Award-winning British journalist Georgie Frost interviews the leading thinkers and doers at BCG on the trends, developments, and ideas that will shape and disrupt the future. This is not your typical business strategy podcast. This podcast uses the following third-party s ...
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Carry the Two pulls back the curtain to reveal the mathematical and statistical gears that turn the world. We’re the show for people who enjoy discovering hidden elements that impact our lives in the most unexpected ways, and math is certainly one of those! We are a curiosity-driven podcast that looks to find unique perspectives from the fields of mathematics and statistics. We use stories to convey how mathematical research drives the world around us, with each episode tackling a different ...
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Predicting the winners of NFL games can be tricky and, sometimes, near impossible. Join Alex and Jay each Thursday for a preview of the coming weeks professional football games and a look into what their WL Score says for each match-up. Every episode contains powerful insight into each match-up using statistical predictive modeling, to help turn the odds in your favor.
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Casual Inference

Lucy D'Agostino McGowan and Ellie Murray

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Keep it casual with the Casual Inference podcast. Your hosts Lucy D'Agostino McGowan and Ellie Murray talk all things epidemiology, statistics, data science, causal inference, and public health. Sponsored by the American Journal of Epidemiology.
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Josephine Lester Broadstock

Josephine Lester Broadstock

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Josephine Lester Broadstock is a data analyst with expertise in collecting, processing, and analyzing large sets of data to identify trends and insights that inform business decisions. As a data analyst, Josephine has experience in using various data analysis tools and techniques, such as statistical analysis, data visualization, and predictive modeling. With her analytical skills and attention to detail, Josephine provides valuable insights that help organizations make data-driven decisions ...
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Elucidations

Matt Teichman

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Elucidations is an unexpected philosophy podcast produced in association with Emergent Ventures. Every episode, Matt Teichman temporarily transforms himself back into a student and tries to learn the basics of some topic from a person of philosophical interest. Hosted on Acast. See acast.com/privacy for more information.
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Divorce, Healthy!

Attorney/Author Ashley-Nicole Russell

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Divorce doesn’t just affect the parents and children involved. From Co-workers and employees to friends, neighbors, and spouses, the toxic fallout of divorce and years of mismanaged conflict can touch us all, all over North Carolina and America, changing the way we approach the world. Veteran Divorce, Child Custody, & Family Law Attorney Ashley-Nicole Russell believes in a better way forward. Drawing on her personal and professional experience, Ashley-Nicole is changing the conversation arou ...
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Welcome to the official free Podcast site from SAGE for Veterinary Science. SAGE is a leading international publisher of journals, books, and electronic media for academic, educational, and professional markets with principal offices in Los Angeles, London, New Delhi, and Singapore.
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Orbition Group is delighted to bring you this podcast series, which is designed for Data Enthusiasts, to hear from some of the most high-profile Data, Analytics and AI thought leaders from around the globe. Each episode will detail the guests journey to the top while bringing unique insights, drawn from first-hand experience on the industry’s most trending topics. This podcast was created as a way for our industry's most respected leadership figures from across the world to give back to the ...
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Join an urban Indian women and a lot of sassy guests for intimate conversations about feminism, living with the patriarchy, dealing with the patriarchy, unlearning patriarchy, fighting patriarchy all while keeping it sassy.
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Ron Yurko and Kostas Pelechrinis host the 'Open Source Sports' podcast to serve as a public reading group for discussing the latest research in sports analytics. Each episode focuses on a single paper featuring authors as guests, with discussions about the statistical methodology, relevance and future directions of the research.
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Not all AI is a black box. In this episode, we explain Decision Trees, the transparent, flowchart-style algorithms that mirror clinical reasoning, and why they sometimes "overfit" the textbook. #DecisionTrees #ClinicalDecisionSupport #AIinMedicine #DigitalHealth #MedTech #ai in medicine Music generated by Mubert https://mubert.com/render healthaibr…
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An award-winning astrophysicist looks at how the understanding of uncertainty and randomness has led to breakthroughs in our knowledge of the cosmos All of us understand the world around us by constructing models, comparing them to observations, and drawing conclusions. Scientists create, test, and replace these models by applying the twinned conce…
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Here we break down the difference between linear and logistic regression, their massive role in current guidelines, and why their transparency makes them a clinical favourite. #MedEd #HealthAI #EvidenceBasedMedicine #Regression #ClinicalData #ai in medicine Music generated by Mubert https://mubert.com/render [email protected]
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In October 2025, Orbition Group hosted Driven by Data LIVE, where they welcomed 120 CDOs/Data Leaders to Tobacco Dock in London for a half-day event, which included 3 panel discussions and some roundtable conversations. The second panel discussion saw Kyle Winterbottom joined by; Ranil Boteju, Chief Data Officer, Lloyds Banking Group Loretta Franks…
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We’ve covered the "physiology" of AI learning. Now we move to the "anatomy." We are shifting focus from how models learn to the specific architectures designed for medical tasks. The coming episodes will dissect the differences between the AI that reads X-rays (CNNs) and the AI that writes notes (LLMs) and why clinicians must match the model to the…
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In this episode of Data Skeptic, we explore the fascinating intersection of recommender systems and digital humanities with guest Florian Atzenhofer-Baumgartner, a PhD student at Graz University of Technology. Florian is working on Monasterium.net, Europe's largest online collection of historical charters, containing millions of medieval and early …
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This time around, Matt talks to Luca Gattoni-Celli about why it’s so expensive to buy a house. In the 80s, people from all sorts of socioeconomic backgrounds were able to afford apartments and houses in places like New York City, San Francisco, or London. Now, on the other hand, even many wealthy people are getting priced out of the city. And indee…
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Thomas Morel joins Jana Byars to tell the story of subterranean geometry, a forgotten discipline that developed in the silver mines of early modern Europe, talking about his book Underground Mathematics: Craft Culture and Knowledge Production in Early Modern Europe (Cambridge UP, 2022). Mining and metallurgy were of great significance to the rulers…
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Today we break down the massive new WHO report on AI readiness across 50 European countries. There is big ambition, but the gaps are glaring. - Only 8% of countries have a health-specific AI strategy. - 86% cite "legal uncertainty" as the top barrier. - Less than a quarter offer AI training to clinicians. We explore the hurdles, the brilliant case …
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Today’s clip is from episode 145 of the podcast, with Jordan Thibodeau. Alexandre Andorra and Jordan Thibodeau discuss the transformative impact of AI on productivity, career opportunities in the tech industry, and the intricacies of the job interview process. They emphasize the importance of expertise, networking, and the evolving landscape of tec…
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How do you stop an AI from overfitting and just memorising data? You penalise it for being too complex. This is "regularisation," the primary antidote to the critical problem of overfitting. In this episode, we explain how regularisation works and why looking for it in a paper's methodology section is a quick way to judge the rigour and quality of …
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Consumer companies are facing a new reality: demand is maturing, competition is intensifying, and generational preferences are diverging. Justin Vincent, part of BCG’s leadership team for consumer and fashion, explains how businesses can avoid fading into the background by choosing a durable purpose, serving real consumer needs, and mastering digit…
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Underfitting (too simple) vs. Overfitting (too complex). These two problems are linked by the "Bias-Variance Tradeoff," the central balancing act of all AI. In this episode, we explain this crucial concept, what bias and variance mean in this context, and how it gives you a powerful new framework for understanding the nature of any AI model's error…
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In October 2025, Orbition Group hosted Driven by Data LIVE, where they welcomed 120 CDOs/Data Leaders to Tobacco Dock in London for a half-day event, which included 3 panel discussions and some roundtable conversations. The first panel discussion saw Kyle Winterbottom joined by; Davin Crowley-Sweet, Chief Data Officer at National Highways Kelly Hum…
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In this week's episode Patrick and Greg talk about latent transition analysis, which embeds latent class analysis within a longitudinal context, allowing us to explore, as well as to formally test, patterns of individual change in latent class membership over time. Along the way they also mention: identity crises, the crossword puzzler, the nihilis…
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Does a little alcohol really make you speak a foreign language better? This week we unpack a quirky randomized trial that tested Dutch pronunciation after a modest buzz—and came to the opposite conclusion the researchers expected. We use it as the perfect holiday case study: instead of arguing with Uncle Joe at the dinner table, we’ll show you how …
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In this episode of Data Skeptic's Recommender Systems series, host Kyle Polich explores DataRec, a new Python library designed to bring reproducibility and standardization to recommender systems research. Guest Alberto Carlo Maria Mancino, a postdoc researcher from Politecnico di Bari, Italy, discusses the challenges of dataset management in recomm…
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We've all heard of AI models that learn too much, but what about models that fail to learn at all? This is "underfitting" – the opposite of overfitting – where a model is too simple for the clinical task. In this episode, we explain this fundamental concept and what it tells you about the AI development process when you see it. #Underfitting #AIinH…
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Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch! Intro to Bayes Course (first 2 lessons free) Advanced Regression Course (first 2 lessons free) 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 swa…
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Why do some AI models get 99% accuracy in a study but fail in the real world? The answer is "overfitting" – a critical flaw where a model memorises data instead of learning from it. In this episode, we use the analogy of an over-crammed student to explain what overfitting is and give you the key question you must ask to spot it in any research pape…
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Paper - Human-level control through deep reinforcement learning, by Mnih et al 2015, Nature Link - https://www.nature.com/articles/nature14236 This week on The Health AI Brief, we're going back to basics. We revisit the landmark 2015 DeepMind paper that taught an AI to master 49 different Atari games from scratch. Find out why this wasn't just abou…
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In Episode 50, the season finale of Season 5 of Driven by Data: The Podcast, Kyle Winterbottom was joined by James Benford, Director General of Surveys, Economic and Social Statistics at Office for National Statistics, where they have a candid discussion regarding the turnaround job at hand after recent public scrutiny and high-profile errors. They…
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In this week's episode Greg and Patrick discuss the amazing world of the empirical bootstrap. They start with inferential testing using business as usual, describe where that quickly runs into problems, and explore where bootstrapping does and, importantly, does not help move us forward. Along the way they also discuss midnight in Bangkok, the awe …
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Today I talked to Alfred S. Posamentier, a co-author (with Christian Spreitzer) of Math Makers: The Lives and Works of 50 Famous Mathematicians (Prometheus, 2020). This charming book is more than just mathematics, because mathematicians are not just makers of mathematics. They are human beings whose life stories are often not just entertaining, but…
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What happens when you combine an AI that can 'do' with an AI that can 'judge'? You get an Actor-Critic partnership, the state-of-the-art in reinforcement learning. We explain how this 'trainee and consultant' model is powering the next generation of dynamic, responsive medical AI. #HealthAI #DigitalHealth #ArtificialIntelligence #ReinforcementLearn…
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In this episode of Data Skeptic's Recommender Systems series, Kyle sits down with Aditya Chichani, a senior machine learning engineer at Walmart, to explore the darker side of recommendation algorithms. The conversation centers on shilling attacks—a form of manipulation where malicious actors create multiple fake profiles to game recommender system…
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Today’s clip is from episode 144 of the podcast, with Maurizio Filippone. In this conversation, Alex and Maurizio delve into the intricacies of Gaussian processes and their deep learning counterparts. They explain the foundational concepts of Gaussian processes, the transition to deep Gaussian processes, and the advantages they offer in modeling co…
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Forget judging, some AIs learn by doing. 'Policy Gradient Methods' create an 'AI Actor' that learns skills directly, much like a person learning to suture. This is the technology behind AI in robotics and precision medicine. Here's what you need to know. #HealthAI #DigitalHealth #ArtificialIntelligence #ReinforcementLearning #RoboticSurgery #Clinic…
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Medtech is a $900 billion industry transforming how we treat, diagnose, and prevent disease—but its innovation engine is slowing. Vikram Aggarwal, global leader of BCG’s medical technology work, explains what’s behind the slowdown and how leaders can rethink regulation, software, and talent to re-accelerate breakthroughs. Learn More: Vikram Aggarwa…
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What happens when a patient decides an AI chatbot is more "humane" than their doctor? A powerful essay in The Guardian and Rest of World explores one mother's growing reliance on 'Dr. DeepSeek', an AI that is both a comforting, empathetic companion and a source of dangerous medical misinformation. In this episode, we dissect the story's key themes:…
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In Episode 49, of Season 5 of Driven by Data: The Podcast, Kyle Winterbottom was joined by Adrian Estala, Field Chief Data & AI Officer at Starburst, where they discuss how to deliver successful AI innovation and transformation by letting 'the business' lead, which includes; Why we need to let business teams to lead AI innovation for meaningful tra…
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In this In The Wild episode, Greg and Patrick turn their Quantitude loose on the ever-present SAT, in particular the premise that it is biased and should be banned. They also talk about what issues would need to be addressed in order to evaluate whether or not that's a reasonable claim. Stay in contact with Quantitude! Web page: quantitudepod.org T…
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What do chickenpox and shingles have to do with your brain? This week, we dig into two 2025 headline-grabbing studies that link the shingles shot to lower dementia rates. We start in Wales, where a birthday cutoff turned into the perfect natural experiment, and end in the U.S. with a multi-million-person megastudy. Featuring bias-variance Goldilock…
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Sign up for Alex's first live cohort, about Hierarchical Model building! Get 25% off "Building AI Applications for Data Scientists and Software Engineers" Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch! Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome w…
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Some AIs learn by becoming expert judges, calculating a score for every possible clinical decision before making a move. We explain value-based methods, the 'AI Critic,' and why they excel at multiple-choice medicine but falter when the decisions are infinitely complex. #HealthAI #DigitalHealth #ArtificialIntelligence #ReinforcementLearning #DeepLe…
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In this episode, Rebecca Salganik, a PhD student at the University of Rochester with a background in vocal performance and composition, discusses her research on fairness in music recommendation systems. She explores three key types of fairness—group, individual, and counterfactual—and examines how algorithms create challenges like popularity bias …
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Epic recently unveiled Comet, a new AI model trained on 118 million patient records to predict future health events. The scale is unprecedented, and its initial ability to outperform specialised models is a huge leap forward for clinical AI. But what is it really learning from our messy, real-world data? In this today's episode, we break down why C…
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