ABOUT THIS PODCAST

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.
English
United States
233 episodes
since Nov. 16, 2014

LATEST EPISODE

The topic of bias in word embeddings gets yet another pass this week. It all started a few years ago, when an analogy task performed on Word2Vec embeddings showed some indications of gender bias around professions (as well as other forms of social bias getting reproduced in the algorithm’s embeddings). We covered the topic again a while later, covering methods for de-biasing embeddings to counteract this effect. And now we’re back, with a second pass on the original Word2Vec analogy task, but where the researchers deconstructed the “rules” of the analogies themselves and came to an interesting discovery: the bias seems to be, at least in part, an artifact of the analogy construction method. Intrigued? So were we… Relevant link: https://arxiv.org/abs/1905.09866
Disclaimer: The podcast and artwork embedded on this page are from Ben Jaffe and Katie Malone, which is the property of its owner and not affiliated with or endorsed by Listen Notes, Inc.

CLAIM THIS PODCAST

Why to claim podcasts?

If you are a podcaster, the best way to manage your podcasts on Listen Notes is by claiming your Listen Notes podcast pages. It is a great, free way to engage the podcast community and increase the visibility of your podcasts.
After claiming your Listen Notes podcast pages, you will be able to:
Manually refresh the RSS feed to sync up
Get a verified badge (
Claimed
) alongside with your podcast name on Listen Notes
Post classified ads for sponsorship, guests, co-hosts, cross-promotion...
Coming soon:
Self-service promotion on Listen Notes
Use speech-to-text techniques to transcribe your show and edit transcripts
Improve the presence of your podcasts, e.g., self served podcaster interview...
Respond to listener comments on Listen Notes
Track your podcast stats on Listen Notes, e.g., listens, page views...
Manage episodes

EDIT

Thank you for helping to keep the podcast database up to date.