Themes and Conferences per Pacoid, Episode 8
Domino Data Lab
APRIL 3, 2019
The longer answer is that in the context of machine learning use cases, strong assumptions about data integrity lead to brittle solutions overall. Instead, we must build robust ML models which take into account inherent limitations in our data and embrace the responsibility for the outcomes. There are models everywhere.
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