Sentence examples for deployment of models from inspiring English sources
It deals with specific issues in the conceptualization, development, solution and deployment of models for applications in many domains of research, business, manufacturing and production.
Accordingly, philosophers of science are beginning to abandon the notion that laws are central to science, focusing instead on the search for symmetries in physics, on the differing uses of approximate generalizations in biology, and on the deployment of models in numerous areas of the sciences.
Three examples based on terrestrial carbon accounting at a range of spatial scales (point, landscape, continental and global) are used to illustrate major COINS features, including flexibility in the spatial deployment of models, the ability to combine different models within the same simulation, and Monte Carlo sensitivity analyses.
In order to achieve economic viability, the report suggests the deployment of models other than those commonly found today.
Just as DevOps and application life cycle management tools do for software, ML and AI need their own tools to manage the deployment of models, as well as make their content, lineage and management documented, audited and transparent.
The deployment of models systems, such as Drosophila, that offer varied and powerful tools for genetic analysis, is an even more recent occurrence.
More qualitative modelling approaches are also emerging that can guide the development and deployment of quantitative models, and these can be supplemented by varied data-driven modelling approaches that can achieve new explanatory insights from observational datasets.
A survey, including student perceptions before and after the deployment of 4D models, was conducted.
That will be a big step forward from Clippy, the animated paper clip that first appeared as an office assistant in Microsoft Office 97, marking Microsoft's first commercial deployment of Bayesian models.
SageMaker attempts to bridge the gap between data scientists and DevOps to enable smoother development and deployment of ML models.
They target mainly the creation and deployment of 3D models over traditional teaching practice (verbal description / pictures / diagrams) and come to the conclusion that the interaction is one main benefit of using VR.
