What are some effective methods for identifying duplicates in data?
There are several methods for identifying duplicates, including exact matching, fuzzy matching, and machine learning techniques.
Can you explain fuzzy matching?
Fuzzy matching is a technique that identifies duplicates by comparing similar but not identical data entries, often using algorithms to measure similarity.
What algorithms are commonly used for fuzzy matching?
Common algorithms include Levenshtein distance, Jaccard similarity, and cosine similarity, each measuring different aspects of similarity.
How can machine learning help in duplicate identification?
Machine learning can help by training models to recognize patterns in data, improving accuracy in identifying duplicates over time.
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