Drifts in Machine Learning

Feb 12, 2024 · 3 min read · Drift refers to the phenomenon of misalignment in the underlying purpose and objective of a machine learning application. A machine learning model is typically trained using historical data or a closed sample of data. Now, when this model is deployed...