System and Method for Automating a Task with a Machine Learning Model
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United States of America Patent
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Issued Date -
Dec 1, 2022
app pub date -
Jul 30, 2018
filing date -
Jul 30, 2018
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Abstract
A system and methods relate to, inter alia, determining a prediction confidence level associated with machine identification of production data based on a machine learning model. The system and methods further relate to routing the production data to at least one of a human analyzer device associated with the human analyzer or a prediction engine of the server based on the prediction confidence level for identification of the data. The machine learning model of the system and methods may be configured to be modifiable in response to feedback from at least one of the human analyzer device or the prediction engine.
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