What are the best practices for handling duplicate data in AI?
Best practices include data deduplication, using unique identifiers, and regular data cleaning.
Can you explain data deduplication in more detail?
Data deduplication is the process of identifying and removing duplicate records to ensure data integrity.
What tools can I use for data cleaning?
Popular tools include OpenRefine, Trifacta, and Talend, which help automate the cleaning process.
How often should I clean my data?
It's recommended to clean your data regularly, depending on the frequency of data updates, at least quarterly.
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