How can we ensure data accuracy in AI models?
Ensuring data accuracy involves several steps, including data validation, cleaning, and regular audits.
What are some common methods for data validation?
Common methods include range checks, format checks, and consistency checks to ensure data integrity.
How often should we audit our data?
It's recommended to audit data regularly, at least quarterly, to catch any discrepancies early.
Can you suggest tools for data cleaning?
Sure! Tools like OpenRefine, Trifacta, and Talend are great for data cleaning tasks.
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