bn:26378990n
Noun Concept
Categories: All articles needing additional references, Machine learning
EN
data augmentation
EN
Data augmentation is a technique in machine learning used to reduce overfitting when training a machine learning model, by training models on several slightly-modified copies of existing data. Wikipedia
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EN
Data augmentation is a technique in machine learning used to reduce overfitting when training a machine learning model, by training models on several slightly-modified copies of existing data. Wikipedia
creation of more data based on previously collected data to enhance the performance of a statistical model Wikidata
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