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Urban Bayer
1 year ago
Ran Dan, a data scientist at ArgmaxML, presents a solution using pretrained word embeddings, nearest-neighbor search, and Levenshtein distance to streamline column semantic matching.
#py #pydata
Discover how semantic matching using word embeddings simplifies column exploration in data analysis.