Sara Hooker | Research at Google AI | Interpretability and Model Compression | CTDS.Show #99

Video Version: https://youtu.be/O7JwKAv99_M

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews Research Scholar at Google brain: Sara Hooker.

Sara has an amazing background and a "non-traditional" path into research. They talk all about her journey into research into machine learning. Sara is still very much connected to her roots, she's from Africa, and she shares her amazing perspective on how different problems, different constraints can contribute to the field, research, or otherwise in interesting ways.

Towards the end they also briefly dive into her recent works.

Links:

Underrated ML: https://www.underratedml.com

Selective Brain Damage: Measuring the Disparate Impact of Model Pruning: https://arxiv.org/pdf/1911.05248

Follow:

Sara Hooker:

https://twitter.com/sarahookr

https://www.sarahooker.me

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd