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. We keep feeding the monster data. We find ways to improve machine learning so that it requires orders of magnitude more data, e.g., deep learning with neural networks.
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