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Machine Learning Podcasts - The Ultimate Listening Guide

Our team of deep learning engineers is always on the hunt to keep up with the latest research, industry news and applications, and future outlook of machine learning, deep learning, and artificial intelligence on our quest to create an industry best Speech-to-Text API.

Machine Learning Podcasts - The Ultimate Listening Guide

Our team of deep learning engineers is always on the hunt to keep up with the latest research, industry news and applications, and future outlook of machine learning, deep learning, and artificial intelligence on our quest to create an industry best Speech-to-Text API.

Below, our team has rounded up a few of their top machine learning podcasts, ranging from the minutely technical to the more universally appealing.

Top team picks include:

  • The AI Podcast
  • Concerning AI
  • Data Stories
  • Partially Derivative
  • Gradient Dissent
  • DeepMind
  • Machine Learning Street Talk
  • Linear Digressions

Keep reading to learn more about each machine learning podcast, including a round-up of some of our favorite episodes.

1. The AI Podcast

The AI Podcast connects listeners to leading machine learning scientists and AI experts. Podcast episodes include AI and machine learning topics that range from how the technology works to current trends to ethical implications. The monthly podcast is produced by AI computing company NVIDIA.

Length: 20-30 minutes

Frequency: Monthly

Worthwhile Episodes:

Listen here.

2. Concerning AI

Hosted by Ted Sarvata and Brandon Sanders, Concerning AI examines the ethical and practical implications, and risks, of today’s AI research. Episodes include interviews with field experts as well as individual commentary. Though the podcast is currently paused, it is still worthwhile to peruse through the archives.

Length: 30-40 minutes

Frequency: Inactive

Worthwhile Episodes:

Listen here.

3. Data Stories

Data Stories is a podcast by NYU professor and acclaimed researcher Enrico Bertini and data science expert Moritz Stefaner. Together, the two discuss data visualization, big data, and other machine learning topics, as well as host numerous other guest experts to discuss hot topics.

Length: 45 minutes

Frequency: Monthly

Worthwhile Episodes:

Listen here.

4. Partially Derivative

Hosts Chris and Vidja discuss machine learning and everyday data about the world around us in the Partially Derivative podcast. Popular topics include artificial intelligence and crime, deep learning and its relation to mathematics, the future of deep learning, and data science and security.

Length: 25-35 minutes

Frequency: Inactive

Worthwhile Episodes:

Listen here.

5. Gradient Dissent

In the Gradient Dissent podcast, host Lukas Biewald interviews machine learning experts to delve into deep learning, training models, and AI approaches at companies like Google, Lyft, Facebook, and more. Topics include robotics, machine learning models, biomedicine, responsibility and bias, language models, and more.

Length: 45 minutes

Frequency: Bimonthly

Worthwhile Episodes:

Listen here.

6. DeepMind

Mathematician and scientist Dr. Hannah Fry hosts DeepMind: The Podcast, a series that highlights topics in AI research, machine learning, and neuroscience. In the podcast, Fry interviews researchers, engineers, and program managers to discuss these controversial and cutting-edge topics.

Length: 35 minutes

Frequency: YouTube Series

Worthwhile Episodes:

Listen here.

7. Machine Learning Street Talk


Machine Learning Street Talk is a technical podcast hosted on YouTube and managed by Dr. Tim Scarfe, Dr. Yannic Kilcher, and Dr. Keith Duggar. The show’s hosts believe in diversity of thought and opinions and try to bring an array of voices in each episode.

Length: 1+ hours

Frequency: Monthly

Worthwhile Episodes:

Listen here.

8. Linear Digressions


Hosted by Ben Jaffe and Katie Malone, Linear Digressions delves into data science and machine learning problem solving, real world applications, and recent discoveries. Though new episodes of this podcast officially ended last year, its archives still contain a wealth of intriguing content for first time listeners.

Length: 20-30 minutes

Frequency: Inactive

Worthwhile Episodes:

Listen here.

Listen to the playlist on Spotify here: