Nowadays, companies are not only evaluated according to their sales and profits, but also according to their data. Many organizations are far from satisfied with their data management, the business…
A fuzzy matching was used to combine the data from the two different sources. A selection of fuzzy string-matching algorithms was tested, for example Jaro-Winkler Distance, Levenshtein distance, Soundex or cosine similarity. The open-source algorithms can be very efficient and there is a selection to choose from depending on the use case.
Let’s say our customer needs structured, labeled images for an online tourism portal. The task for our AI model is therefore to recognize whether a picture is a bedroom, bathroom, spa area, restaurant, etc. Let’s take a look at the possible training methods.
How to protect the corporate identity of any company by ensuring consistent branding with automated font recognition using artificial intelligence (deep learning).