Azalia Mirhoseini's guest appearances

Azalia Mirhoseini

Banana Data Podcast

Jay Shah Podcast

Siddha Ganju

Sara Hooker

Nasrin Mostafazadeh

Dan Shiebler

Twitter Eng

Reshama Shaikh

Karen Hao

Jeremie Harris

Tristan Handy

Andreas Mueller

Maithra Raghu

Linda Zhang

Ganesh Iyer

Matthew Lungren

Hima Lakkaraju

OwlTail

Three research scientists from Google share their journey about interest in Machine Learning research and how they got started with it.Watch full podcasts with each of these speakers:Azalia Mirhoseini: https://youtu.be/5LCfH8YiOv4Sara Hooker: https://youtu.be/MHtbZls2utsNatasha Jacques: https://youtu.be/8XpCnmvq49sAbout the Host:Jay is a Ph.D. student at Arizona State University, doing research on building Interpretable AI models for Medical Diagnosis.Jay Shah: https://www.linkedin.com/in/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.***

Three research scientists from Google share their journey about interest in Machine Learning research and how they got started with it. Watch full podcasts with each of these speakers: Azalia Mirhoseini: <a href="https://youtu.be/5LCfH8YiOv4" rel="nofollow" target="_blank">https://youtu.be/5LCfH8YiOv4</a> Sara Hooker: <a href="https://youtu.be/MHtbZls2uts" rel="nofollow" target="_blank">https://youtu.be/MHtbZls2uts</a> Natasha Jacques: <a href="https://youtu.be/8XpCnmvq49s" rel="nofollow" target="_blank">https://youtu.be/8XpCnmvq49s</a> About the Host: Jay is a Ph.D. student at Arizona State University, doing research on building Interpretable AI models for Medical Diagnosis. Jay Shah: <a href="https://www.linkedin.com/in/shahjay22/" rel="nofollow" target="_blank">https://www.linkedin.com/in/shahjay22/</a> You can reach out to <a href="https://www.public.asu.edu/~jgshah1/" rel="nofollow" target="_blank">https://www.public.asu.edu/~jgshah1/</a> 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.***

How did I get into Machine Learning research? | Sara Hooker, Azalia Mirhoseini & Natasha Jacques - Google

Azalia is a Research scientist at the Google Brain team, where she leads machine learning for systems moonshot projects. Her research interests include and not limited to exploring deep reinforcement learning for optimizing computer systems. She has a Ph.D. in Electrical and Computer Engineering from Rice University and has received many awards for her contributions including the  MIT Technology Review 35 under 35.About the Host:Jay is a Ph.D. student at Arizona State University, doing research on building Interpretable AI models for Medical Diagnosis.Jay Shah: https://www.linkedin.com/in/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.***

Azalia is a Research scientist at the Google<a href="https://studio.youtube.com/channel/UCK8sQmJBp8GCxrOtXWBpyEA" rel="nofollow" target="_blank"> </a>Brain team, where she leads machine learning for systems moonshot projects. Her research interests include and not limited to exploring deep reinforcement learning for optimizing computer systems. She has a Ph.D. in Electrical and Computer Engineering from Rice University<a href="https://studio.youtube.com/channel/UCv9Cpo9OqV8_kEyKfCDnScA" rel="nofollow" target="_blank"> </a>and has received many awards for her contributions including the <a href="https://studio.youtube.com/channel/UCgy4Mf_tlZGqesYNqPNxjPw" rel="nofollow" target="_blank"> </a>MIT Technology Review 35 under 35. About the Host: Jay is a Ph.D. student at Arizona State University, doing research on building Interpretable AI models for Medical Diagnosis. Jay Shah: <a href="https://www.linkedin.com/in/shahjay22/" rel="nofollow" target="_blank">https://www.linkedin.com/in/shahjay22/</a> You can reach out to <a href="https://www.public.asu.edu/~jgshah1/" rel="nofollow" target="_blank">https://www.public.asu.edu/~jgshah1/</a> 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.***

Using Deep Reinforcement Learning for System Optimization & more | Dr. Azalia Mirhoseini, Google ​

AI constantly promises the cutting edge. So, what’s behind the newest, hottest AI trends out there? This episode, Triveni &amp; Will sit down with Azalia Mirhoseini, Senior Researcher at Google Brain, named on Technology Review's 35 Innovators under 35 to explore what’s really going on behind the scenes, and what’s actually overrated, underrated, and just right in the field. Azalia Mirhoseini, 35 Innovators Under 35: Visionaries (MIT Technology Review)

AI constantly promises the cutting edge. So, what’s behind the newest, hottest AI trends out there? This episode, Triveni &amp; Will sit down with Azalia Mirhoseini, Senior Researcher at Google Brain, named on Technology Review's 35 Innovators under 35 to explore what’s really going on behind the scenes, and what’s actually overrated, underrated, and just right in the field. <a href="https://www.technologyreview.com/lists/innovators-under-35/2019/visionary/azalia-mirhoseini/" rel="nofollow" target="_blank">Azalia Mirhoseini, 35 Innovators Under 35: Visionaries</a> (MIT Technology Review)