Model Assertions for Monitoring and Improving ML Models

3 Mar 2020Daniel KangDeepti RaghavanPeter BailisMatei Zaharia

ML models are increasingly deployed in settings with real world interactions such as vehicles, but unfortunately, these models can fail in systematic ways. To prevent errors, ML engineering teams monitor and continuously improve these models... (read more)

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