machine learning: podcasts

Pick anything below and it plays in the bar at the foot of the window — and keeps playing while you go on browsing the directory.

1. 1▶Recommender Systems Origin StoryData Skeptic25:32Notes
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2. 2▶Better Know a Benchmark: Humanity's Last ExamLinear Digressions23:21Notes
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3. 3▶Augmented University: #1 Cómo convertir la tasa de matriculación en una ventaja a la hora de tomar decisiones en tiempo realSimplifying Analytics - EdTech8:04Notes
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4. 4▶A Scientific Deep Dive into Overconfident LLMs: Interview with Kaitlyn Zhou (Cornell)Linear Digressions33:54Notes
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5. 5▶Reasoning Models: When LLMs Went Beyond Fancy AutocompleteLinear Digressions25:00Notes
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6. 6▶Social Choice for Fair RecommendationsData Skeptic42:56Notes
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7. 7▶Neural Networks ExplAIned, pt. 1Harper Carroll AINotes
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8. 8▶Distillation, or, How to Steal a ModelLinear Digressions23:38Notes
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9. 9▶Invisible LLM Failures and AI Fluency with Chris Potts (Stanford)Linear Digressions41:23Notes
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10. 10▶#71 - De la Analítica Avanzada a la IA Educativa: La Evolución de Analytikus y el Futuro de las Organizaciones Inteligentes | Miguel MolinaSimplifying Analytics - EdTech50:55Notes
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11. 11▶Still summer break: back next weekLinear Digressions0:25Notes
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12. 12▶What is ML Reinforcement Learning?Technology ConsultantNotes
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13. 13▶What is ML Unsupervised LearningTechnology ConsultantNotes
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14. 14▶Summer break: back soonLinear Digressions0:36Notes
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15. 15▶What is ML Supervised Learning?Technology ConsultantNotes
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16. 16▶What is Machine Learning (ML)Technology ConsultantNotes
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17. 17▶What is Artificial Intelligence (AI)?Technology ConsultantNotes
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18. 18▶IntroductionTechnology ConsultantNotes
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19. 19▶News RecommendationsData Skeptic46:06Notes
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20. 20▶Interviewing the Linear Digressions Agents (The Agents Season, Episode 11)Linear Digressions37:39Notes
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21. 21▶Give Users the WheelData Skeptic35:28Notes
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22. 22▶Ep 24: From Unicorns to Centaurs: Codesigning Computer Systems for the AI Era with Dr. Partha Ranganathan, GoogleComputer Architecture Podcast58:13Notes
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23. 23▶Agent Economics (The Agents Season, Episode 10)Linear Digressions24:24Notes
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24. 24▶#70 - Analítica e IA en educación: convertir insights en impacto real | Chris Tech ChatSimplifying Analytics - EdTech31:00Notes
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25. 25▶AutoLikeData Skeptic35:18Notes
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26. 26▶Agent Trust, Oversight and Control (The Agents Season, Episode 9)Linear Digressions25:41Notes
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27. 27▶The 3 ways AI learns - Stanford engineer explainsHarper Carroll AINotes
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28. 28▶#69 - El corazón de una solución analítica para predecir el riesgo estudiantilSimplifying Analytics - EdTech13:02Notes
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29. 29▶Student Spotlight: Aaron Payne, Data AnalystData Skeptic25:59Notes
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30. 30▶The Future is Agentic in Recommender SystemsData Skeptic49:25Notes
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31. 31▶Tyler Moberg - Five Minutes a Day: Building an AI Habit That Transforms Your WorkConversations on Applied AI38:02
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32. 32▶Can we AI our way to a more sustainable world?Microsoft Research Podcast1:01:24Notes
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33. 33▶#68 - Preparación para la IA en la Educación Superior: ¿Está tu universidad realmente lista para la transformación?Simplifying Analytics - EdTech9:10Notes
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34. 34▶Ideas: Steering AI toward the work future we wantMicrosoft Research Podcast54:28Notes
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35. 35▶#754: Accelerating healthcare decisions with agentsAWS Podcast35:55Notes
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36. 36▶Eric Lealos - Test Bench to Tech Stack: Applying AI in ManufacturingConversations on Applied AI40:46
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37. 37▶Ep 23: Cross-stack Design and Tooling for Large-scale Distributed AI Systems with Dr. Tushar Krishna, Georgia TechComputer Architecture Podcast1:08:56Notes
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38. 38▶Book Ratings and RecommendationsData Skeptic39:19Notes
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39. 39▶Will machines ever be intelligent?Microsoft Research Podcast1:08:18Notes
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40. 40▶Disentanglement and Interpretability in Recommender SystemsData Skeptic30:33Notes
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41. 41▶#67- Innovación Educativa y el Futuro de la IA con Giuseppe AuricchioSimplifying Analytics - EdTech49:01Notes
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42. 42▶Trailer: The Shape of Things to ComeMicrosoft Research Podcast2:25Notes
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43. 43▶Collective Altruism in Recommender SystemsData Skeptic54:35Notes
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44. 44▶#753: Amazon Bedrock Mantle and Developing at the Speed of AIAWS Podcast55:51Notes
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45. 45▶2025 in AI, with Nathan BenaichThe GradientNotes
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46. 46▶Peter Olson-Skog - How AI Is Forcing Schools to Rethink LearningConversations on Applied AI39:28
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47. 47▶#752: Modernizing SAP with AWSAWS Podcast33:29Notes
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48. 48▶#66 - IA, Datos y el Futuro de la UniversidadSimplifying Analytics - EdTech49:34Notes
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49. 49▶#751: Werner Vogels’ Tech Predictions for 2026 and Beyond...AWS Podcast30:54Notes
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50. 50▶Thomas Feeney - AI, Philosophy, and the Future of LeadershipConversations on Applied AI30:21
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