Weak supervision for data extraction, data cleaning, and machine learning
Christopher Ré | Thursday, July 12
Associate Professor affiliated with DAWN, Statistical Machine Learning Group, PPL, and SAIL (bio).
This short course will give hands-on tutorials for the recently popular paradigm of weak supervision. The goal will be to build nearly state of the art tools for problems in natural language processing and image recognition using very little data! The emerging theory of these systems will also be presented. Related material is available online at Snorkel.stanford.edu and will be updated after the summer session.