Recent and Upcoming Events

Stephen Bach, Brown University
MIT Building 32 (Stata Center) 32-G449 (Kiva)
Thursday, June 20, 2019 - 7:00pm

Labeling training data is one of the most costly bottlenecks in developing machine learning-based applications. Weak supervision, using less expensive but noisier sources of supervision than hand-labeled data, has the potential to relax this bottleneck but introduces new challenges around managing these sources. In this talk, I'll describe a new system, Snorkel DryBell, in production at Google for weakly supervised machine learning at industrial scale.

Stephen Bach, Brown University
MIT Building 32 (Stata Center) 32-G449 (Kiva)
Thursday, June 20, 2019 - 7:00pm

Labeling training data is one of the most costly bottlenecks in developing machine learning-based applications. Weak supervision, using less expensive but noisier sources of supervision than hand-labeled data, has the potential to relax this bottleneck but introduces new challenges around managing these sources. In this talk, I'll describe a new system, Snorkel DryBell, in production at Google for weakly supervised machine learning at industrial scale.

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GBC/ACM – The Greater Boston Chapter of the ACM

The Association for Computing Machinery (ACM), is the world’s largest educational and scientific computing society. It provides resources that advance computing as a science and a profession. The Greater Boston Chapter of the ACM (GBC/ACM) provides our community of professionals with current and practical information from the innovators themselves. We are a forum for collaborative learning that provides the community with free Evening Seminars and full day Professional Development Seminars that feature distinguished speakers and guests.

GBC/ACM has been one of the most active and successful chapters in the ACM worldwide since its founding in 1962. GBC/ACM is run by volunteers and we encourage your participation in achieving our ongoing mission.