Totally. Different terms for different use cases. They wanted to be more specific here and ML suited that better. They could have been even more specific (which

Totally. Different terms for different use cases. They wanted to be more specific here and ML suited that better. They could have been even more specific (which would have been cool) but it would have overshot their target audience's context.