US /ˌklæsəfɪˈkeʃən/
・UK /ˌklæsɪfɪˈkeɪʃn/
Uh in response to this classification, aren't they?
And they will also now try um to have legal actions against that classification, that confirmation of this classification.
Doctors in the rest of the world also use the International Classification of Diseases to diagnose mental problems.
Doctors in the rest of the world also use the International Classification of Diseases to diagnose mental problems.
There was a UN report that was released recently, and I'd like to just read their classification of matters.
report that was released recently, and I'd like to just read their classification of matters.
For instance, instead of adopting the EU's classification system for chemicals, Britain, in its infinite wisdom, decided to create their own system.
For instance, instead of adopting the EU's classification system for chemicals, Britain, in its infinite wisdom, decided to create their own system.
Instead of suggesting that one needs to be above a particular age to watch a film, the Government Classification Board would see its primary task as that of helping a film to reach the audience it could best help.
the government classification board would see its primary task is
You can use the classification task sentiment analysis task model for just that purpose.
You can use the classification task sentiment analysis task model for just that purpose.
These models are trained for general purposes to solve common language problems such as text classification, question answering, document summarization, and text generation across industries.
These models are trained for general purposes to solve common language problems such as text classification, question answering, document summarization, and
The Center for Academic Success presents: Bloom's Taxonomy, a classification of learning levels. It maps the way we think and process information. The levels of
The Center for Academic Success presents Bloom's Taxonomy, a classification of learning levels.
BERT was trained on a massive text corpus and has become this sort of general pocket knife for NLP that can be adopted to a bunch of different tasks, like text summarization, question answering, classification,
BERT was trained on a massive text corpus and has become this sort of general pocket knife for NLP that can be adopted to a bunch of different tasks, like text summarization, question answering, classification, and finding similar sentences.
And this is not." They're all image analysis problems that are generally classification problems.
And this is not." They're all image analysis problems that are generally classification problems.