About: Drift (data science)

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In data science and related fields, drift is an evolution of data that invalidates the data model. Common areas where identification of data drift is important are machine learning and data mining, as well as maintenance of large software systems. Drift detection and drift adaptation are of paramount importance in the fields that involve dynamically changing data and data models.

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  • In data science and related fields, drift is an evolution of data that invalidates the data model. Common areas where identification of data drift is important are machine learning and data mining, as well as maintenance of large software systems. Drift detection and drift adaptation are of paramount importance in the fields that involve dynamically changing data and data models. (en)
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  • In data science and related fields, drift is an evolution of data that invalidates the data model. Common areas where identification of data drift is important are machine learning and data mining, as well as maintenance of large software systems. Drift detection and drift adaptation are of paramount importance in the fields that involve dynamically changing data and data models. (en)
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  • Drift (data science) (en)
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