Mar 15–18, 2020

Paroma Varma
Cofounder, Snorkel

Paroma Varma is a cofounder at Snorkel and completed a PhD at Stanford, advised by Professor Christopher Ré and affiliated with the DAWN, SAIL, and StatML groups, where she was supported by the Stanford Graduate Fellowship and the National Science Foundation Graduate Research Fellowship. Her research interests revolve around weak supervision or using high-level knowledge in the form of noisy labeling sources to efficiently label massive datasets required to train machine learning models.

Sessions

9:00am12:30pm Monday, March 16, 2020
Location: 210 E
Paroma Varma (Snorkel)
Paroma Varma teaches you how to build and manage training datasets programmatically with Snorkel, an open source framework developed at the Stanford AI lab, and demonstrates how this can lead to more efficiently building and managing machine learning (ML) models in a range of practical settings. Read more.

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