Data Quality

Noun · AI & Machine Learning

Definitions

  1. The degree to which data is accurate, complete, relevant, consistent, and usable for a specific AI task. Poor data quality often causes more serious problems than model choice alone.

    In plain English: How good and trustworthy the data is.

    Example: "The project stalled because data quality issues in the source tickets made the training labels unreliable."

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