Re:The First Time America Freaked Out Over Automation
by PeterisP on Wednesday May 31, 2017 @09:28AM
(#14452294)
It might be more accurate to say not that the ML models are trained off [decisions of] people but that ML models are trained off past experience, the results of decisions that were taken.
When introducing a new ML system, it's generally trained off of people, but in most (though not all) contexts you get much, much more data once the system starts getting used in practice and you get feedback on the decisions that the machine made.
The human knowledge is generally needed as a seed to make the model sufficiently not-bad so that we'd allow it to be widely used in practice and learn on its own.
When introducing a new ML system, it's generally trained off of people, but in most (though not all) contexts you get much, much more data once the system starts getting used in practice and you get feedback on the decisions that the machine made.
The human knowledge is generally needed as a seed to make the model sufficiently not-bad so that we'd allow it to be widely used in practice and learn on its own.