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They are named 'feature' vectors with scored attributes, similar to associative arrays.Just ask MI. Jordan, D. Blie, S. Mian or A. Ng.
by KasianFranks 2y ago
They are named 'feature' vectors with scored attributes, similar to associative arrays.Just ask MI. Jordan, D. Blie, S. Mian or A. Ng.
- jerrygenser 2y agoThey are embedded into a particular semantic vector space that is learned based on a model. Another feature vector could be hand rolled based on feature engineering, tidf ngrams etc. Embedding is typically distinct from feature engineering that is manual.