Data Drift

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Glossary

Model Drift

Il model drift, o decadimento del modello, si riferisce al declino delle prestazioni predittive di un modello di machine learning nel tempo a causa di cambiamenti nell’ambiente reale. Scopri i tipi, le cause, i metodi di rilevamento e le soluzioni per il model drift in AI e machine learning.

AI Machine Learning Data Science +3
• 8 min read

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