# machine learning (audio feeds) — RSS Amplifier

Recent posts from the 30 feeds in the RSS Amplifier directory that cover machine learning.

Page: <https://rssamplifier.com/topics/machine-learning/audio>  
Feed: <https://rssamplifier.com/topics/machine-learning/audio.md>

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## [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

## [How does Backpropagation work?](https://bayinformationsystems.substack.com/p/how-does-backpropagation-work)

_2026-08-18 · Edward Grundy · Bay Information Systems_

F(X) = Y describes what a model does once it’s trained. But how does F gets to that state in the first place?

## [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 Four Types of Machine Learning](https://bayinformationsystems.substack.com/p/the-four-types-of-machine-learning)

_2026-08-11 · Edward Grundy · Bay Information Systems_

Machine learning reduces to one expression: F(X) = Y. A model F takes input data X and produces output Y. From these combinations, we can learn all the main strategies to solve data problems with ML.

## [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

## [Chovy's Blog: Agentic Coding (Sponsored)](https://crawlproof.com/a/ZpDjSscNptOp)

_2026-08-10 · **Sponsored**_

Personal posts on agentic coding, moshcode CLI, and security findings.

## [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)

## [The Unfinished Notebook](https://bayinformationsystems.substack.com/p/the-unfinished-notebook)

_2026-08-07 · Edward Grundy · Bay Information Systems_

Notebooks are a great way to communicate narrative and encourage engagement in data projects.

## [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

## [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

## [Model Choice Determines VLM Inference Cost](https://bayinformationsystems.substack.com/p/model-choice-determines-vlm-inference)

_2026-08-04 · Edward Grundy · Bay Information Systems_

Output length bias in the training process impacts the cost of model inference.

## [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

## [Embedding-Based Relationship Discovery: Finding the Real Network in Your Data](https://bayinformationsystems.substack.com/p/embedding-based-relationship-discovery)

_2026-07-28 · Edward Grundy · Bay Information Systems_

Most organisations have a formal model of their customer relationships and a real one that differs from it. Embeddings and community detection surface the real structure.

## [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

## [Ship software peacefully (Sponsored)](https://crawlproof.com/a/w3Yo9bgM1670)

_2026-07-28 · **Sponsored**_

Connect your repo and deploy instantly — Railway handles config, scaling, and monitoring.

## [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

## [Engineering in the Exponential Age](https://bayinformationsystems.substack.com/p/engineering-in-the-exponential-age)

_2026-07-23 · Edward Grundy · Bay Information Systems_

Capability is arriving faster than teams can absorb it. The engineering task becomes protocols and interfaces in place of bespoke services.

## [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

## [Collect Open Source Legends (Sponsored)](https://crawlproof.com/a/mMdrArkyOsBE)

_2026-07-17 · **Sponsored**_

Open-licensed art, limited foil trading packs, and optional on-chain mints.

## [The Algorithm Lottery](https://bayinformationsystems.substack.com/p/the-algorithm-lottery)

_2026-07-16 · Edward Grundy · Bay Information Systems_

Recommendation systems deliberately surface under-explored content to find new audience clusters. Understanding why this happens changes how you think about content distribution.

## [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

## [How to Structure an ML Team](https://bayinformationsystems.substack.com/p/how-to-structure-an-ml-team)

_2026-07-09 · Edward Grundy · Bay Information Systems_

The four horsemen of the techpocalyse!

## [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)

## [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)

## [What Is NER and Why Does It Matter for PII?](https://bayinformationsystems.substack.com/p/what-is-ner-and-why-does-it-matter)

_2026-07-07 · Edward Grundy · Bay Information Systems_

Some tasks are so well understood there are specific classes of models just for that task. Identify named entities and redacting private information are two of those specific tasks.

## [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

## [Falling Token Prices and the Cost of Inference](https://bayinformationsystems.substack.com/p/falling-token-prices-and-the-cost)

_2026-07-02 · Edward Grundy · Bay Information Systems_

How do you know if you are saving money when things get cheaper?

## [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)

## [Why Private Inference Is Not Fully Private (Yet)](https://bayinformationsystems.substack.com/p/why-private-inference-is-not-fully)

_2026-06-30 · Edward Grundy · Bay Information Systems_

Fully Homomorphic Encryption will bring massive change to the inference landscape, but it is not yet possible.