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 black-box machine learning prediction


Explaining Black-Box Machine Learning Predictions - Sameer Singh, UC Irvine

#artificialintelligence

This presentation was recorded at #H2OWorld 2017 in Mountain View, CA. He is working on large-scale and interpretable machine learning applied to natural language processing. Sameer was a Postdoctoral Research Associate at the University of Washington and received his PhD from the University of Massachusetts, Amherst, during which he also worked at Microsoft Research, Google Research, and Yahoo! He was awarded the Adobe Research Data Science Faculty Award, was selected as a DARPA Riser, won the grand prize in the Yelp dataset challenge, and received the Yahoo! Sameer has published extensively at top-tier machine learning and natural language processing conferences.