AI Product Management After Deployment
O'Reilly on Data
OCTOBER 13, 2020
One reason for this is to tackle the (likely) lengthy backlog of ML/AI model improvements that will be discovered after the product engages with the real world. One reason for this is to tackle the (likely) lengthy backlog of ML/AI model improvements that will be discovered after the product engages with the real world.
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