Improving Data Quality With an Efficient Data Labeling Process
Dataiku
APRIL 16, 2020
A key principle behind data preparation that data scientists regularly hammer home is that of garbage in, garbage out — if your data is flawed going into a machine learning process, you are bound to receive flawed results, algorithms, and worse, business decisions.
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