DiscoverJay Shah PodcastChallenges of productionizing Machine Learning Research in Industry | Aarti Bagul
Challenges of productionizing Machine Learning Research in Industry | Aarti Bagul

Challenges of productionizing Machine Learning Research in Industry | Aarti Bagul

Update: 2021-07-19
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Why and where do companies fail at productionizing ML models? 

Watch the full podcast with Aarti here: https://youtu.be/VWJXiszQpTU

Aarti is a machine learning engineer at Snorkel AI. Prior to that, she worked closely with Andrew Ng in various capacities. She graduated with a master’s in CS from Stanford, and bachelor's in CS and Computer Engineering from @New York University, and at @Microsoft  Research as a research intern for John Langford, where she contributed to Vowpal Wabbit, an open-source project. 

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.***

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Challenges of productionizing Machine Learning Research in Industry | Aarti Bagul

Challenges of productionizing Machine Learning Research in Industry | Aarti Bagul

Jay Shah, Aarti Bagul