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"Continuous vector representations capture semantic and syntactic properties of words and phrases, so that for example `vector(“Montreal Canadians”) -
vector(“Montreal”) + vector(“Toronto”)` is similar to `vector(“Toronto Maple Leafs”)`.

I'll go over a particular model published by Google,
called word2vec, its optimizations, applications and extensions."

This talk will be in English.

http://www.mlmu.cz/

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