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Virtual QASIG with Heemeng Foo - Machine Learning Testing, Cliff Notes
The survey paper "Machine Learning Testing: Survey, Landscapes and Horizons" by Zhang et al. (Dec 2019) is probably the most comprehensive study on the topic of Machine Learning Testing.  As such, it is also long (37 pages). In this talk, I hope to provide a sort of "Cliff Notes" of the paper so that interested parties can zoom in on the parts that interest them.

Jun 10, 2020 06:00 PM in Pacific Time (US and Canada)

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