# machine learning (podcasts) — RSS Amplifier Recent posts from the 29 feeds in the RSS Amplifier directory that cover machine learning. Page: Feed: --- ## [Recommender Systems Origin Story](https://dataskeptic.com/blog/episodes/2026/recommender-systems-origin-story) _2026-08-18 · Data Skeptic_ Where did recommender systems come from, and how do we know when they're actually working? In part one of Data Skeptic's three-part Recommender Systems finale, Kyle traces the field from collaborative filtering and the Netflix Prize to matrix factorization and modern approaches, while exploring why accuracy alone can't capture what makes a recommendation useful, surprising, or meaningful. [Listen](https://pscrb.fm/rss/p/mgln.ai/e/35/traffic.libsyn.com/secure/dataskeptic/recsys-finale-pt1.mp3?dest-id=201630) ## [Building a Hospital Readmission Prediction System using Logistic Regression + LightGBM](https://danicasimic.substack.com/p/building-a-hospital-readmission-prediction) _2026-08-18 · Danica Simic · Danica's Substack | Data Science, AI & Career_ Ideal portfolio project for data scientists and machine learning engineer ## [Better Know a Benchmark: Humanity's Last Exam](https://soundcloud.com/linear-digressions/better-know-a-benchmark) _2026-08-17 · hello@lineardigressions.com (Katie Malone) · Linear Digressions_ Humanity's Last Exam was designed with a bold premise: questions that human experts can answer, but AI models can't. Originally dubbed "Humanity's Last Stand," this benchmark is a massive academic collaboration — hundreds of contributors, thousands of fiendishly hard questions spanning a wild range of domains. In this Better Know a Benchmark installment, we unpack what HLE is actually testing, how… [Listen](https://feeds.soundcloud.com/stream/2382794751-linear-digressions-better-know-a-benchmark.mp3) ## [7 Pillars of Modern Data Science You Can't Ignore If You're Getting Started](https://danicasimic.substack.com/p/7-pillars-of-modern-data-science) _2026-08-14 · Danica Simic · Danica's Substack | Data Science, AI & Career_ Follow this guide to succeed in data science despite AI boom ## [Data Science Weekly - Issue 664](https://datascienceweekly.substack.com/p/data-science-weekly-issue-664) _2026-08-13 · Data Science Weekly · Data Science Weekly Newsletter_ Curated news, articles and jobs related to Data Science, AI, & Machine Learning ## [Augmented University: #1 Cómo convertir la tasa de matriculación en una ventaja a la hora de tomar decisiones en tiempo real](https://omny.fm/shows/simplifying-analytics/augmented-university-1-c-mo-convertir-la-tasa-de-matriculaci-n-en-una-ventaja-a-la-hora-de-tomar-decisiones-en-tiempo-real) _2026-08-12 · Simplifying Analytics - EdTech_ Y si las universidades pudieran saber, antes de que termine el ciclo de admisiones, qu estudiantes todav a pueden cambiar de decisi n? Tradicionalmente, el yield nos dice cu ntos estudiantes admitidos finalmente se matricularon. Pero cuando ese n mero est disponible, la oportunidad de influir en el resultado ya pas . Hoy, la inteligencia artificial est cambiando esa l gica. En este episodio… [Listen](https://traffic.omny.fm/d/clips/ace45c9e-9a62-4f6e-9b81-a64f00e1f363/065f6246-9381-42d8-9eee-a64f00e9c919/5a4a4c06-9307-4d84-ab80-b4a300b50c23/audio.mp3?utm_source=Podcast&in_playlist=5a5d9fa9-de62-46c8-8e78-a64f00eb6261) ## [The 10 Agentic AI Questions Every Interviewer Is Asking Right Now](https://danicasimic.substack.com/p/the-10-agentic-ai-questions-every) _2026-08-11 · Danica Simic · Danica's Substack | Data Science, AI & Career_ Most Candidates Fail Question 6. Can You Answer It? ## [DiffusionGemma Explained](https://mlberkeley.substack.com/p/the-annotated-diffusiongemma) _2026-08-10 · Machine Learning at Berkeley · ML@B Blog_ by Timothy Gao ## [A Scientific Deep Dive into Overconfident LLMs: Interview with Kaitlyn Zhou (Cornell)](https://soundcloud.com/linear-digressions/a-scientific-deep-dive-into) _2026-08-10 · hello@lineardigressions.com (Katie Malone) · Linear Digressions_ When a language model tells you it's absolutely certain, is it actually more likely to be right? Kaitlyn Zhou's research says: not necessarily — sometimes confident phrasing correlates with \*worse\* accuracy, echoing a very human Dunning-Kruger effect. In this conversation, Kaitlyn (soon an assistant professor at Cornell) walks through why LLMs talk this way in the first place — tracing the… [Listen](https://feeds.soundcloud.com/stream/2378192501-linear-digressions-a-scientific-deep-dive-into.mp3) ## [My Ultimate ML/AI Study Resource Bank](https://danicasimic.substack.com/p/my-ultimate-mlai-study-resource-bank) _2026-08-07 · Danica Simic · Danica's Substack | Data Science, AI & Career_ Everything you need to master concepts from Python to agents ## [Watch Chovy Code Live (Sponsored)](https://crawlproof.com/a/YMtHrdrxe8UA) _2026-08-07 · **Sponsored**_ Join live coding streams with real-time collaborative screen sharing, open source and free. ## [Data Science Weekly - Issue 663](https://datascienceweekly.substack.com/p/data-science-weekly-issue-663) _2026-08-06 · Data Science Weekly · Data Science Weekly Newsletter_ Curated news, articles and jobs related to Data Science, AI, & Machine Learning ## [Reasoning Models: When LLMs Went Beyond Fancy Autocomplete](https://soundcloud.com/linear-digressions/reasoning-models-when-llms) _2026-08-03 · hello@lineardigressions.com (Katie Malone) · Linear Digressions_ Reasoning models don't just answer your question — they \*think out loud\* first. In this episode we dig into the class of AI models that generate intermediate chains of thought before arriving at a final answer, exploring how the internal reasoning process works. Are these models genuinely "thinking," or is something else going on under the hood? [Listen](https://feeds.soundcloud.com/stream/2373884492-linear-digressions-reasoning-models-when-llms.mp3) ## [Harness Engineering vs Loop Engineering vs Graph Engineering](https://danicasimic.substack.com/p/harness-engineering-vs-loop-engineering) _2026-07-31 · Danica Simic · Danica's Substack | Data Science, AI & Career_ Three words for three different agent design problems, what is what? ## [Data Science Weekly - Issue 662](https://datascienceweekly.substack.com/p/data-science-weekly-issue-662) _2026-07-30 · Data Science Weekly · Data Science Weekly Newsletter_ Curated news, articles and jobs related to Data Science, AI, & Machine Learning ## [I scraped 1,000 ML/AI engineer job postings](https://danicasimic.substack.com/p/i-scraped-1000-mlai-engineer-job) _2026-07-28 · Danica Simic · Danica's Substack | Data Science, AI & Career_ Here's what companies truly want ## [Social Choice for Fair Recommendations](https://dataskeptic.com/blog/episodes/2026/social-choice-for-fair-recommendations) _2026-07-27 · Data Skeptic_ Recommender systems influence nearly every aspect of our digital lives—but what does it mean for those systems to be fair? Robin Burke joins Data Skeptic to discuss the history of recommender systems, the limitations of optimizing purely for accuracy, and how ideas from social choice theory can help balance the needs of users, creators, and society. The conversation explores the future of… [Listen](https://pscrb.fm/rss/p/mgln.ai/e/35/traffic.libsyn.com/secure/dataskeptic/Robin_No_Ads_V1.mp3?dest-id=201630) ## [Neural Networks ExplAIned, pt. 1](https://harpercarrollai.substack.com/p/neural-networks-explained-pt-1) _2026-07-27 · Harper Carroll AI · Harper Carroll AI_ How does the math underlying neural networks actually work? We walk through an example. You'll come away feeling empowered! [Listen](https://api.substack.com/feed/podcast/208690588/fb273d1dd6685855e6c20e33ce611913.mp3) ## [Distillation, or, How to Steal a Model](https://soundcloud.com/linear-digressions/distillation-or-how-to-steal-a) _2026-07-27 · hello@lineardigressions.com (Katie Malone) · Linear Digressions_ This week we’re covering model distillation: the technique of using a large "teacher" model's outputs to train a smaller, cheaper "student" model that mimics it. They cover the two big reasons labs do this — making lighter, faster, more focused models for specific tasks, and the more contentious use case of effectively copying a rival's flagship model by hammering its API with questions (with a… [Listen](https://feeds.soundcloud.com/stream/2368298993-linear-digressions-distillation-or-how-to-steal-a.mp3) ## [10 Agentic AI Concepts You Need to Master Before 2027](https://danicasimic.substack.com/p/10-agentic-ai-concepts-you-need-to) _2026-07-24 · Danica Simic · Danica's Substack | Data Science, AI & Career_ The gap between an agent demo and an agent system, explained in ten parts ## [Data Science Weekly - Issue 661](https://datascienceweekly.substack.com/p/data-science-weekly-issue-661) _2026-07-23 · Data Science Weekly · Data Science Weekly Newsletter_ Curated news, articles and jobs related to Data Science, AI, & Machine Learning ## [Crypto Payments, No Custody (Sponsored)](https://crawlproof.com/a/8BcnRI5kUGLh) _2026-07-23 · **Sponsored**_ Send crypto to merchant wallets via API with real-time updates and automatic fees. ## [Invisible LLM Failures and AI Fluency with Chris Potts (Stanford)](https://soundcloud.com/linear-digressions/invisible-llm-failures-and-ai) _2026-07-20 · hello@lineardigressions.com (Katie Malone) · Linear Digressions_ What happens when a Stanford linguistics professor turns his attention to AI chatbots — and the surprisingly invisible ways humans misunderstand them? Chris Potts joins the show to unpack the hidden failure modes in how we interact with AI, what it really means to become a more fluent user, and why these language-wielding systems are genuinely alien in ways we're only beginning to reckon with. His… [Listen](https://feeds.soundcloud.com/stream/2363928773-linear-digressions-invisible-llm-failures-and-ai.mp3) ## [#71 - De la Analítica Avanzada a la IA Educativa: La Evolución de Analytikus y el Futuro de las Organizaciones Inteligentes | Miguel Molina](https://omny.fm/shows/simplifying-analytics/71-de-la-anal-tica-avanzada-a-la-ia-educativa-la-evoluci-n-de-analytikus-y-el-futuro-de-las-organizaciones-inteligentes-miguel-molina) _2026-07-17 · Simplifying Analytics - EdTech_ En este episodio presentamos una conversaci n especial con Miguel Molina, CEO y fundador de Analytikus , quien participa como invitado en el podcast Squash Challenge junto a Rafa. A lo largo de esta charla, Miguel comparte la historia detr s de la evoluci n de Analytikus: desde sus primeros pasos como una consultora enfocada en anal tica avanzada hasta convertirse en una compa a EdTech… [Listen](https://traffic.omny.fm/d/clips/ace45c9e-9a62-4f6e-9b81-a64f00e1f363/065f6246-9381-42d8-9eee-a64f00e9c919/e4947f48-37f5-4e93-960f-b48a00ddd8c1/audio.mp3?utm_source=Podcast&in_playlist=5a5d9fa9-de62-46c8-8e78-a64f00eb6261) ## [Tools I Use Every Day as a Data Scientist & ML/AI Engineer](https://danicasimic.substack.com/p/tools-i-use-every-day-as-a-data-scientist) _2026-07-17 · Danica Simic · Danica's Substack | Data Science, AI & Career_ My complete 2026 stack in eight tools: foundations, ML, agents, and shipping ## [Data Science Weekly - Issue 660](https://datascienceweekly.substack.com/p/data-science-weekly-issue-660) _2026-07-17 · Data Science Weekly · Data Science Weekly Newsletter_ Curated news, articles and jobs related to Data Science, AI, & Machine Learning ## [How AI Changes the Cost Structure of Every Business](https://viewfromthemtn.substack.com/p/how-ai-changes-the-cost-structure) _2026-07-14 · Warren Woodrich Pettine · View from the MTN_ What gets cheaper, how customer alternatives change, and who keeps the difference. ## [5 Ways Agentic Systems Fail in Production, and How Guardrails Fix Them](https://danicasimic.substack.com/p/5ways-agentic-systems-fail-in-production) _2026-07-14 · Danica Simic · Danica's Substack | Data Science, AI & Career_ The prototype works. The system doesn't. ## [Still summer break: back next week](https://soundcloud.com/linear-digressions/still-summer-break-back-next) _2026-07-13 · hello@lineardigressions.com (Katie Malone) · Linear Digressions_ Still summer break: back next week by Katie Malone [Listen](https://feeds.soundcloud.com/stream/2359372451-linear-digressions-still-summer-break-back-next.mp3) ## [How to build your first Agentic System (For Personal Use)](https://danicasimic.substack.com/p/how-to-build-your-first-agentic-system) _2026-07-10 · Danica Simic · Danica's Substack | Data Science, AI & Career_ Your First Working System Will Teach You More Than Any Course ## [Data Science Weekly - Issue 659](https://datascienceweekly.substack.com/p/data-science-weekly-issue-659) _2026-07-10 · Data Science Weekly · Data Science Weekly Newsletter_ Curated news, articles and jobs related to Data Science, AI, & Machine Learning ## [What is ML Reinforcement Learning?](https://technologyconsultants.substack.com/p/what-is-ml-reinforcement-learning) _2026-07-07 · Technology Consultant · Technology Consultant_ Let’s learn how machine learning trains model using reinforcement learning. [Listen](https://api.substack.com/feed/podcast/205949873.mp3) ## [Ship everywhere from one CLI (Sponsored)](https://crawlproof.com/a/0aHuJFliBOb2) _2026-07-07 · **Sponsored**_ One codebase, hosted runners, encrypted credentials, and automated submissions across stores ## [What is ML Unsupervised Learning](https://technologyconsultants.substack.com/p/what-is-ml-unsupervised-learning) _2026-07-07 · Technology Consultant · Technology Consultant_ Let’s understand how machine learning trains models using unsupervised learning. [Listen](https://api.substack.com/feed/podcast/205912120.mp3) ## [Summer break: back soon](https://soundcloud.com/linear-digressions/summer-break-back-soon) _2026-07-06 · hello@lineardigressions.com (Katie Malone) · Linear Digressions_ Summer break: back soon by Katie Malone [Listen](https://feeds.soundcloud.com/stream/2353709759-linear-digressions-summer-break-back-soon.mp3) ## [What is ML Supervised Learning?](https://technologyconsultants.substack.com/p/what-is-ml-supervised-learning) _2026-07-05 · Technology Consultant · Technology Consultant_ Let’s understand how machine learning trains models using supervised learning. [Listen](https://api.substack.com/feed/podcast/205267438.mp3) ## [What is Machine Learning (ML)](https://technologyconsultants.substack.com/p/what-is-machine-learning-ml) _2026-07-05 · Technology Consultant · Technology Consultant_ Let’s understand Machine Learning (ML) [Listen](https://api.substack.com/feed/podcast/205264279.mp3) ## [What is Artificial Intelligence (AI)?](https://technologyconsultants.substack.com/p/what-is-ai) _2026-07-05 · Technology Consultant · Technology Consultant_ Let’s understand Artificial Intelligence (AI) [Listen](https://api.substack.com/feed/podcast/205263960.mp3) ## [Accenture's AI Panic Was the Market's Biggest Reverse Uno Card!](https://technologyconsultants.substack.com/p/accentures-ai-panic-was-the-markets) _2026-07-03 · Technology Consultant_ For a brief moment, Wall Street did what Wall Street does best: panic first, ask questions later. ## [Introduction](https://technologyconsultants.substack.com/p/introduction) _2026-07-03 · Technology Consultant · Technology Consultant_ Learn, Discuss and More... [Listen](https://api.substack.com/feed/podcast/204918405/a1f368d8f8cd0c2c44cd0e7fe7d5bd84.mp3) ## [Data Science Weekly - Issue 658](https://datascienceweekly.substack.com/p/data-science-weekly-issue-658) _2026-07-02 · Data Science Weekly · Data Science Weekly Newsletter_ Curated news, articles and jobs related to Data Science, AI, & Machine Learning ## [News Recommendations](https://dataskeptic.com/blog/episodes/2026/news-recommendations) _2026-07-02 · Data Skeptic_ News recommendation algorithms influence far more than what stories we click—they can shape our understanding of the world. In this episode, Kyle Polich speaks with Andreea Iana about responsible AI, filter bubbles, multilingual news recommendation, and her open-source NewsRecLib framework for evaluating recommender systems. They explore why bigger models aren't always better and how future… [Listen](https://pscrb.fm/rss/p/mgln.ai/e/35/traffic.libsyn.com/secure/dataskeptic/Andreea_No_Ads_V1.mp3?dest-id=201630) ## [Interviewing the Linear Digressions Agents (The Agents Season, Episode 11)](https://soundcloud.com/linear-digressions/interviewing-the-linear) _2026-06-28 · hello@lineardigressions.com (Katie Malone) · Linear Digressions_ After a five-year hiatus, the podcast that burned out partly over the tedium of writing episode descriptions is back — and using AI agents to handle exactly that task. The season-11 finale turns the lens on the podcast itself, putting the AI agents built throughout the season to work on real production tasks. It's a fitting, self-referential close to a season spent dissecting how agents actually… [Listen](https://feeds.soundcloud.com/stream/2349504563-linear-digressions-interviewing-the-linear.mp3) ## [Data Science Weekly - Issue 657](https://datascienceweekly.substack.com/p/data-science-weekly-issue-657) _2026-06-25 · Data Science Weekly · Data Science Weekly Newsletter_ Curated news, articles and jobs related to Data Science, AI, & Machine Learning ## [Give Users the Wheel](https://dataskeptic.com/blog/episodes/2026/give-users-the-wheel) _2026-06-23 · Data Skeptic_ What if you could simply tell a recommendation system what you want instead of relying on likes, dislikes, and watch history? Kyle Polich talks with Fuyuan Lyu about the DPR framework, which combines large language models and traditional recommender systems to give users direct control over recommendations through natural language. Together they explore how conversational interfaces could… [Listen](https://pscrb.fm/rss/p/mgln.ai/e/35/traffic.libsyn.com/secure/dataskeptic/Fuyuan_Lyu_No_Ads_V1.mp3?dest-id=201630) ## [Ep 24: From Unicorns to Centaurs: Codesigning Computer Systems for the AI Era with Dr. Partha Ranganathan, Google](https://comparchpodcast.podbean.com/e/ep-24-from-unicorns-to-centaurs-co-designing-computer-systems-for-the-ai-era-with-dr-partha-ranganathan-google/) _2026-06-22 · Computer Architecture Podcast_ Dr. Partha Ranganathan is a VP and Technical Fellow at Google, where he serves as the area technical lead for hardware and datacenters. Partha is currently driving next-generation computing systems for the AI era, tackling the challenges of building, scaling and managing warehouse-scale computers, and the bleeding edge of hardware-software codesign. He has pioneered numerous impactful innovations… [Listen](https://mcdn.podbean.com/mf/web/s7bpkvct6f9gm2tu/CAP_Ep24_Partha_Ranganathan_FINAL8hk2k.mp3) ## [Agent Economics (The Agents Season, Episode 10)](https://soundcloud.com/linear-digressions/agent-economics-the-agents) _2026-06-22 · hello@lineardigressions.com (Katie Malone) · Linear Digressions_ What if building more highways made your commute \*slower\*? That's the paradox at the heart of AI agent economics: even as per-token inference costs have plummeted dramatically over the past two years, total LLM spending keeps climbing. Drawing on a surprising lesson from Robert Moses's mid-century New York infrastructure projects, this episode unpacks why cheaper compute doesn't necessarily mean… [Listen](https://feeds.soundcloud.com/stream/2343636737-linear-digressions-agent-economics-the-agents.mp3) ## [Data Science Weekly - Issue 656](https://datascienceweekly.substack.com/p/data-science-weekly-issue-656) _2026-06-18 · Data Science Weekly · Data Science Weekly Newsletter_ Curated news, articles and jobs related to Data Science, AI, & Machine Learning ## [#70 - Analítica e IA en educación: convertir insights en impacto real | Chris Tech Chat](https://omny.fm/shows/simplifying-analytics/70-anal-tica-e-ia-en-educaci-n-convertir-insights-en-impacto-real-chris-tech-chat) _2026-06-18 · Simplifying Analytics - EdTech_ Tener datos es suficiente para mejorar el xito estudiantil? La respuesta es no. En este episodio especial de Chris Tech Chat, Miguel Molina, fundador de Analytikus, cambia de rol y se sienta como invitado para abordar uno de los mayores desaf os de la educaci n superior: por qu tantas instituciones disponen de informaci n y dashboards, pero siguen teniendo dificultades para transformar esos datos… [Listen](https://traffic.omny.fm/d/clips/ace45c9e-9a62-4f6e-9b81-a64f00e1f363/065f6246-9381-42d8-9eee-a64f00e9c919/cc32b8d1-406b-4c53-a018-b46d009f5f6c/audio.mp3?utm_source=Podcast&in_playlist=5a5d9fa9-de62-46c8-8e78-a64f00eb6261) ## [AutoLike](https://dataskeptic.com/blog/episodes/2026/autolike) _2026-06-17 · Data Skeptic_ How can researchers audit recommendation systems when the algorithms are hidden from view? Hieu Le joins Kyle Polich to discuss Auto-Like, a reinforcement learning framework that systematically explores how platforms like TikTok personalize content feeds. The conversation covers recommendation transparency, black-box auditing, and the future of platform accountability. [Listen](https://pscrb.fm/rss/p/mgln.ai/e/35/traffic.libsyn.com/secure/dataskeptic/Hieu_No_Ads_V1.mp3?dest-id=201630) ## [Agent Trust, Oversight and Control (The Agents Season, Episode 9)](https://soundcloud.com/linear-digressions/agent-trust-oversight-and) _2026-06-15 · hello@lineardigressions.com (Katie Malone) · Linear Digressions_ Capabilities get all the attention when it comes to AI agents — but what happens when a highly capable agent makes a bad decision in the real world? Trust, oversight, and control are the unglamorous but critically important flip side of the agentic AI story. This episode digs into the security concerns that emerge when you combine powerful models with real-world tool access, and why judgment (or… [Listen](https://feeds.soundcloud.com/stream/2339393036-linear-digressions-agent-trust-oversight-and.mp3) ## [Data Science Weekly - Issue 655](https://datascienceweekly.substack.com/p/data-science-weekly-issue-655) _2026-06-11 · Data Science Weekly · Data Science Weekly Newsletter_ Curated news, articles and jobs related to Data Science, AI, & Machine Learning ## [AI in Product ≠ AI in Operations](https://viewfromthemtn.substack.com/p/ai-in-product-ai-in-operations) _2026-06-08 · Warren Woodrich Pettine · View from the MTN_ "AI company" is the most expensive phrase in diligence. Here are the two questions that cut through it.