What kind of challenges have you noticed while working with ML applications in production, that most newbies don't know as students or fresh graduates? And what ML applications production pipeline look like?
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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.
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