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# Best Machine Learning Podcasts | TPA

# The Best Machine Learning Podcasts to Sharpen Your Skills

Last updated: March 2026 In the fast-paced world of machine learning, staying up-to-date with the latest research, tools, and techniques is crucial. Podcasts are an invaluable resource for learning on the go, whether you're commuting, at the gym, or just taking a break. But with so many options out there, finding the best machine learning podcasts can be a challenge. That's where The Podcast App comes in. We've curated a list of the top-rated podcasts to help you level up your skills and knowledge.

## Features for Curious Minds

### Never Lose a Great Idea

With The Podcast App's AI Brain, you can ask questions across eligible transcript-backed listening history. Instantly recall key concepts, find specific discussions, and synthesize information from all the machine learning podcasts you've ever listened to.

### Learn at Your Own Pace

Our advanced playback controls let you speed up, slow down, or skip chapters to focus on the content that matters most. Combined with offline downloads, you can learn about machine learning anytime, anywhere.

## The Best Machine Learning Podcasts in 2026

For practitioners and the seriously curious — research, engineering, and the people pushing ML forward. Listen free in The Podcast App.

Listen to all 12 of these free in The Podcast App — with limited offline listening, no app-inserted ads, and optional AI summaries.

1. ![The TWIML AI Podcast cover art](https://thepodcastapp.dev/og/podcasts/1116303051.jpg)
2. ![Gradient Dissent cover art](https://thepodcastapp.dev/og/podcasts/1504567418.jpg)
3. ![The Robot Brains Podcast cover art](https://thepodcastapp.dev/og/podcasts/1559275284.jpg)
4. ![Machine Learning Street Talk cover art](https://thepodcastapp.dev/og/podcasts/1510472996.jpg)
5. ![Practical AI cover art](https://thepodcastapp.dev/og/podcasts/1406537385.jpg)
6. ![Data Skeptic cover art](https://thepodcastapp.dev/og/podcasts/890348705.jpg)
7. ![The Gradient Podcast cover art](https://thepodcastapp.dev/og/podcasts/1569777340.jpg)
8. ![Talking Machines cover art](https://thepodcastapp.dev/og/podcasts/955198749.jpg)
9. ![Latent Space: The AI Engineer Podcast cover art](https://thepodcastapp.dev/og/podcasts/1674008350.jpg)
10. ![Super Data Science: ML & AI Podcast with Jon Krohn cover art](https://thepodcastapp.dev/og/podcasts/1163599059.jpg)
11. ![The Cognitive Revolution cover art](https://thepodcastapp.dev/og/podcasts/1669813431.jpg)
12. ![Dwarkesh Podcast cover art](https://thepodcastapp.dev/og/podcasts/1516093381.jpg)

### Listen to all 12 in one place

Free core listening with no app-inserted ads, limited offline listening, and optional AI summaries from Podcast Brain — all in The Podcast App.

## Sources and further reading

- [The TWIML AI Podcast](https://twimlai.com/podcast/twimlai/) Official show page — Sam Charrington's TWIML AI Podcast, technical ML/AI interviews.
- [Gradient Dissent (Weights & Biases)](https://wandb.ai/site/resources/podcast/) Official Weights & Biases podcast page for Gradient Dissent, hosted by Lukas Biewald.
- [The Robot Brains Podcast](https://shows.acast.com/the-robot-brains) Official Acast show page — Pieter Abbeel interviews AI and robotics researchers.
- [Machine Learning Street Talk (MLST)](https://www.mlst.ai/) Official site for MLST, deep technical AI/ML debates hosted by Tim Scarfe.
- [Practical AI](https://practicalai.show/) Official Changelog Media site for Practical AI — applied ML, MLOps, production lessons.
- [Data Skeptic](https://dataskeptic.com/) Official site for Kyle Polich's Data Skeptic, critical-thinking take on data science and ML.
- [The Gradient Podcast](https://thegradientpub.substack.com/s/podcast) Official podcast page — Daniel Bashir's in-depth AI/ML researcher interviews.
- [Talking Machines](https://www.thetalkingmachines.com/) Official site for Talking Machines, machine learning conversations by Katherine Gorman and Neil Lawrence.
- [Latent Space: The AI Engineer Podcast](https://www.latent.space/) Official site — weekly technical interviews for engineers shipping ML in production.
- [Super Data Science Podcast](https://www.superdatascience.com/podcast) Official page for Jon Krohn's near-daily ML & data-science practitioner show.
- [The Cognitive Revolution](https://www.cognitiverevolution.ai/) Official site — Nathan Labenz's interviews with frontier-model researchers and builders.
- [Dwarkesh Podcast](https://www.dwarkesh.com/) Official site — Dwarkesh Patel's long-form interviews on AI scaling, RL, and AGI timelines.
- [Machine learning — Wikipedia](https://en.wikipedia.org/wiki/Machine_learning) Reference overview of the machine learning field, the genre's core subject.
- [Artificial intelligence — Wikipedia](https://en.wikipedia.org/wiki/Artificial_intelligence) Reference overview of AI, the broader field these shows cover.
- [Deep learning — Wikipedia](https://en.wikipedia.org/wiki/Deep_learning) Reference overview of deep learning, central to modern ML podcast topics.
- [arXiv Machine Learning (cs.LG)](https://arxiv.org/list/cs.LG/recent) The primary preprint archive for ML research these podcasts discuss.
- [Papers with Code](https://paperswithcode.com/) Reputable hub linking ML papers to code and benchmarks — high-value for practitioners.
- [NeurIPS](https://neurips.cc/) The leading machine learning research conference, frequently referenced by these shows.
- [The Gradient (magazine)](https://thegradient.pub/) Respected AI/ML publication founded at the Stanford AI Lab — journalistic genre coverage.
- [The Ambies — Awards for Excellence in Audio](https://www.ambies.com/) Podcast Academy's award body recognizing excellence across podcasting.
- [The Podcast Academy](https://www.thepodcastacademy.com/) Membership organization behind the Ambies, advancing the podcasting industry.
- [arXiv](https://arxiv.org) open-access research preprint server
- [Stanford HAI](https://hai.stanford.edu) Stanford Institute for Human-Centered AI
- [MIT Technology Review](https://www.technologyreview.com) authoritative emerging-tech journalism
- [Khan Academy](https://www.khanacademy.org) free education across subjects

## Frequently Asked Questions

### What makes The Podcast App the best for machine learning podcasts?

The Podcast App is designed for learners. Features like AI Brain, Synthesis Radio, and advanced playback controls help you absorb and retain information more effectively than any other podcast player.

### Is The Podcast App free?

Yes, the core player is free core listening with no app-inserted ads. We believe in providing a premium listening experience for everyone.

### Can I import my existing podcast subscriptions?

Absolutely. You can easily import your subscriptions from any other podcast app using our OPML import feature.

### What are the best machine learning podcasts in 2026?

For research and engineering both, start with The TWIML AI Podcast and Machine Learning Street Talk for depth, Latent Space for applied AI engineering, and Super Data Science for the data-science career and toolchain. For frontier research interviews, add the Dwarkesh Podcast and The Cognitive Revolution. Every show here offers free core listening in The Podcast App.

### What are the best ML podcasts for practitioners and engineers?

If you write ML code for a living, Latent Space is the consensus pick for applied AI engineering and agents, while Practical AI and Gradient Dissent focus on MLOps and getting models into production. Super Data Science covers tooling and career, and Data Skeptic keeps you rigorous on fundamentals. Follow a couple in The Podcast App for new-episode alerts as tools change.

### What are the best new machine learning podcasts of 2026?

The shows gaining the most ground in 2026 are the frontier-research interviews: the Dwarkesh Podcast, known for exceptionally well-prepared long-form conversations and full transcripts, and Nathan Labenz's The Cognitive Revolution, one of the fastest-publishing serious AI shows. On the applied side, Latent Space keeps setting the agenda for AI engineers. All three are free to follow with core listening included.

### What's the best app for machine learning podcasts?

Every show on this page is available in The Podcast App with free core listening and no app-inserted ads. Download long technical interviews for offline listening, follow your favorites for new-episode notifications, and use the charts and personalized picks to surface new machine-learning and AI-engineering shows as the field moves.

## Mastering Machine Learning: Your Essential Podcast Companion

The field of machine learning is evolving at an incredible pace, making it challenging yet crucial to stay updated with the latest research, breakthroughs, and industry applications. Podcasts offer an unparalleled way to absorb complex information, hear from leading experts, and gain new perspectives while on the go. Whether you are a seasoned data scientist, an aspiring ML engineer, or simply curious about artificial intelligence, integrating machine learning podcasts into your learning routine can significantly sharpen your skills and broaden your understanding. They provide a flexible and accessible format for continuous professional development, allowing you to transform commute times or daily chores into valuable learning opportunities.

Choosing the right machine learning podcasts can be overwhelming given the vast array of options. Look for shows that feature in-depth interviews with researchers, cover practical case studies, or break down intricate algorithms into digestible segments. Consider podcasts that discuss both the theoretical underpinnings and the real-world implications of ML, including ethical considerations and future trends. A well-curated selection will not only keep you informed but also inspire new ideas and approaches in your own work. Prioritize content that aligns with your current learning objectives, whether that is mastering deep learning, understanding reinforcement learning, or exploring the business side of AI.

The Podcast App is designed to elevate your machine learning podcast experience, making it easier than ever to learn and retain complex information. Our innovative Podcast Brain can search eligible transcript-backed moments from your listening history. This is particularly invaluable for machine learning topics, where clarifying concepts quickly can accelerate your learning curve. Furthermore, The Podcast App provides a listening experience with no app-inserted ads, ensuring uninterrupted focus on intricate discussions. You can also download episodes for offline listening, adjust variable playback speeds to match your comprehension, and seamlessly integrate with CarPlay for convenient access during your travels.

Beyond its powerful AI capabilities, The Podcast App offers a suite of features tailored for serious learners. Enjoy crystal-clear audio quality and a user-friendly interface that makes discovering new machine learning podcasts a breeze. with optional Premium for advanced features to access its core functionalities, it is available at no cost for both iOS and Android users, providing a premium listening experience without financial barriers. Embrace a smarter way to learn and stay ahead in the dynamic world of machine learning by leveraging The Podcast App’s comprehensive tools, designed to support your continuous growth and mastery of this transformative technology.

### New in 2026

Machine-learning podcasting in 2026 split cleanly into two lanes, and both grew. On the practitioner side, the rise of agents and production LLMs made AI engineering its own discipline — Latent Space became the consensus pick for people shipping models, while Jon Krohn's Super Data Science passed a thousand episodes serving working data scientists. On the research side, long-form interview shows deepened: Dwarkesh Patel's conversations on scaling laws, reinforcement learning, and AGI timelines (each published with a full transcript) and Nathan Labenz's The Cognitive Revolution became go-to sources for tracking frontier work. The through-line was reasoning models and reinforcement learning displacing 2024's pure pre-training story — and a louder open-versus-closed debate, with figures like Databricks' Matei Zaharia arguing the open case on-mic.

## Related Pages

## Ready to Supercharge Your Learning?

Download The Podcast App today and start your journey to becoming a machine learning expert. With our powerful features and experience without app-inserted ads, you'll be able to learn faster and more effectively than ever before.

## Continue with closely related guides.

Use these pages to compare nearby features, listening routines, and app-switching paths.

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