Game, Set and Fuzzy match
Written by Bhargav Bharadwaj, Antoine Gracia Victoria, Wiktor Owczarz and Waldemar Schuppli Fuzzy matching is a set of data science techniques that save critical time and reduce the risk of human error when matching string variables (e.g., customer names) in large, distinct datasets, for example, to assess the closeness of competition between merging firms, or … Continued