Duplication
Duplication refers to the process of creating copies of data or information. In data science, duplication can occur when the same data is stored in multiple locations or when multiple records contain the same information. Duplication can lead to inconsistencies and errors in data analysis, as well as increased storage and processing requirements. Therefore, it is important to identify and eliminate duplication in data sets. This can be achieved through various techniques such as data deduplication, which involves identifying and removing duplicate records, and data normalization, which involves organizing data in a standardized format to reduce redundancy. In artificial intelligence, duplication can also refer to the process of creating multiple copies of a neural network or model to improve accuracy and reduce overfitting.
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