Sara Hooker | Research at Google AI | Interpretability and Model Compression | CTDS.Show #99
from Chai Time Data Science Hosted by Sanyam Bhutani
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
Embed this episode
No transcript yet.