Sep 23–26, 2019
Shioulin Sam
Research Engineer, Cloudera Fast Forward Labs
Shioulin Sam is a research engineer at Cloudera Fast Forward Labs, where she bridges academic research in machine learning with industrial applications. Previously, she managed a portfolio of early stage ventures focusing on women-led startups and public market investments and worked in the investment management industry designing quantitative trading strategies. She holds a PhD in electrical engineering and computer science from the Massachusetts Institute of Technology.
Sessions
1:15pm–1:55pm Wednesday, September 25, 2019
Location: 1A 12/14
Secondary topics:
Deep Learning
Shioulin Sam (Cloudera Fast Forward Labs)
Supervised machine learning requires large labeled datasets—a prohibitive limitation in many real world applications. But this could be avoided if machines could earn with a few labeled examples. Shioulin Sam explores and demonstrates an algorithmic solution that relies on collaboration between human and machine to label smartly, and she outlines product possibilities.
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