Linear Digressions is a podcast about machine learning and data science. Machine learning is being used to solve a ton of interesting problems, and to accomplish goals that were out of reach even a few short years ago. 896520
Linear Digressions
Claim This Podcastby Katie Malone
4.8(33 reviews)
305 episodes
Updated Daily
Accepts GuestsHas SponsorsLocation 🇺🇸
Podcast Overview
Linear Digressions is a podcast about machine learning and data science. Machine learning is being used to solve a ton of interesting problems, and to accomplish goals that were out of reach even a few short years ago. 896520
Language
🇺🇲
Publishing Since
11/16/2014
4 verified contact emails on file for Linear Digressions
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Recent Episodes
July 27, 2026
Distillation, or, How to Steal a Model
Host Lex Fridman interviews AI researcher Dr. Andrew Ng about the nuances and ethical considerations of model distillation, exploring its applications and implications in artificial intelligence.
July 20, 2026
Invisible LLM Failures and AI Fluency with Chris Potts (Stanford)
Stanford linguistics professor Chris Potts discusses invisible AI failures and achieving AI fluency, revealing how humans misunderstand language-wielding systems.
July 13, 2026
Still summer break: back next week
Katie Malone announces the podcast's return next week after a summer break.
305 total episodes available with 22 transcripts
Recent guests on Linear Digressions
Guests from recent episodes — sign up to see every guest that has ever appeared on this show.
Chris Potts
Guest
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Frequently asked questions
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- What is Linear Digressions?
- How often does this podcast release new episodes?
This podcast updates daily.
- Where can I listen to this podcast?
This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
Yes, this podcast regularly features guests.
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