Applying for Google Residency & role of a Resident | Sara Hooker

Watch the full episode with Sara here:    • Self taught Machine Learning Research...  

Sara is research scholar at @Google-Brain team working on building interpretable machine learning models for reliability and robustness. We talk about how she transitioned from economics to now pure research at the Brain team. We also talk in detail about what interpretability means, what are the state-of-art techniques and what are some of the most important things any machine learning researcher must know.

Also check-out these talks on all available podcast platforms: https://jayshah.buzzsprout.com

About the Host:
Jay is a PhD student at Arizona State University, doing research on building Interpretable AI models for Medical Diagnosis.
Jay Shah:   / shahjay22  

You can reach out to https://www.public.asu.edu/~jgshah1/ for any queries.
Stay tuned for upcoming webinars!

**Disclaimer: The information contained in this video represents the views and opinions of the speaker and does not necessarily represent the views or opinions of any institution. It does not constitute an endorsement by any Institution or its affiliates of such video content.**