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Today's machine learning models can be trained on data and used for classifying defined objects.
Facebook calls this skill set "learning to learn". Today's machine learning models can be trained on data and used for classifying defined objects.
While it can take some time for machines to be "trained" on data and for useful algorithms to arise, once this has happened, machines excel at data analysis.
Machine learning methods that can be trained on data available in well-curated gene variant collections may be promising tools to improve the predictive capabilities available to the research community.
All ED physicians and research staff at each participating site will be trained on data collection methods using a standardised lecture/video and training session.
District officers and providers must also be trained on data collection, aggregation, and use of data for decision-making, and routine monitoring support must be incorporated into supervision and quality assurance efforts.
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This index could be "trained" on data-rich chemicals and products and then validated on a representative set of chemicals for which little exposure data are available.
This is traditionally achieved through a process called supervised learning, where the machine is trained on data that is a one-to-one match.
Many machine learning classifiers are trained on data labeled by humans.
A flying foreman: The drones use AI that has been trained on data like labeled aerial YouTube footage depicting different kinds of industrial equipment.
A predictive computational model that was trained on data obtained in the task context outperformed a model that was trained under the abstract context.
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CEO of Professional Science Editing for Scientists @ prosciediting.com