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Understanding what the machine has learned is a nontrivial activity.
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Man and machine have learned to co-exist, for now.
After the machine had "learned" the telltale signs, the researchers searched for new rodents that fit the profile but were not previously thought to be carriers.
The machines had learned from us, you see.
Of what machine learning might look like when the machines have learned to make their own decisions.
The lead researcher, Jonathon Phillips, said it was just a matter of what the machines had learned on.
"These machines will have to learn what is right, what is wrong, what is a pattern".
They concluded that different learning machines have different sensitivity to their parameter settings.
Local machine learning has shown a comparative advantage in many machine learning tasks [15, 16, 17].
Machine learning has broad implications for business.
Today, machine learning has replaced expert systems.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com