Linear Digressions

Linear Digressions

Hosted by Katie Malone and Katie · Katie Malone

4.8from 460 ratings

Books guestsus

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317
Episodes
34
Transcribed
460
Ratings
Weekly
Cadence
2014
First episode

About Linear Digressions

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

Publisher
Katie Malone
Category
technology
Language
en
Explicit
No
First episode
16 Nov 2014
Latest episode
19 Oct 2026
Apple PodcastsSpotifyWebsiteRSS feed

Latest episodes

34 of 317 episodes have a transcript.

  1. 19 Oct 2026TRANSCRIPT

    Back Next Week

  2. 12 Oct 2026TRANSCRIPT

    Back in Two Weeks

  3. 5 Oct 2026TRANSCRIPT

    Mechanistic Interpretability: How Researchers Try To See Inside Models

Who has been a guest on Linear Digressions

Names identified in recent episode analyses. Showing up to five guests.

  • Jon Krohn
  • Xiao-Li Meng
  • Tom Davenport
  • Kaitlyn Zhou
  • Chris Potts

Reach and audience

Public platform figures. Ratings count people who left a rating, not total listeners.

Apple Podcasts (US)
4.8 / 5
363 ratings
Spotify
4.9 / 5
97 ratings

Contact Linear Digressions

Guest appearances
Books guests

Based on episode analysis; this does not confirm that the show is currently accepting guests.

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Questions about Linear Digressions

Who hosts Linear Digressions?

Katie Malone and Katie host the show. Published by Katie Malone.

How often do new episodes come out?

The show publishes weekly, based on its RSS feed.

Does Linear Digressions take guests?

Yes. Guests have been identified in episode analyses.

Where can I read transcripts?

34 of 317 episodes have a transcript on Pod Engine. Full transcripts are available with a Pod Engine plan.

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