在 英语 中使用 Models can 的示例及其翻译为 中文
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The models can be used at any time point after the initiation of treatment- an important feature since a patient's condition can change.
These models can be employed in a variety of applications including manufacturing and healthcare systems in which high-dimensional data is common.
Models can be very simple, like this one, and still be useful for understanding a point, or getting an idea.
Js' synchronization functionality, models can automatically synchronize with a remote data source(by default a RESTful web service).
These four basic models can be applied to any of the four“internets”(people, things, information and places).
Descriptive models can be used, for example, to categorize customers by their product preferences and life stage.
Deep learning models can attain state-of-the-art accuracy and, at times, even surpassing human-level performance.
They have now integrated ONNX into PyTorch 1.0 so that the models can be interoperable with other frameworks and developers can“mix-and-match.”.
These point-cloud models can serve as the as-built/as-operating record of the line, enabling improvements to operational performance throughout the factory and product and process lifecycle.
They have now integrated ONNX into PyTorch 1.0 so that the models can be interoperable with other frameworks and developers can“mix-and-match.”.
Process performance baselines and models can be used to help set quality and process performance objectives that help achieve business objectives.
Simulation models can be animated in 2D/3D, allowing concepts and ideas to be more easily verified, communicated, and understood.
Machine learning(ML) models can be biased- since its in the human nature.
These models can calculate a patient's risk of dying based on factors such as the patient's age, symptoms, and other characteristics.
Computer models can predict wind speed and control the number and capacity of turbines in operation to meet energy demand.
Computer models can predict with 95.6% accuracy whether a man or woman is typing, according to a new study.
Demand-driven education models can develop strategic collaboration between educators and employers to produce human capital that is relevant to growing sectors and trade opportunities.
Deep Learning models can achieve State-of-the-art accuracy and sometimes even surpass performance at a human level.
Research suggests female role models can encourage women to pursue careers in science, and the same seems likely to be true for Black people.
We have already seen how component models can be used to turn equations into reusable components.