Examples of using Predictive models in English and their translations into Swedish
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Colloquial
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Official
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Medicine
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Ecclesiastic
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Ecclesiastic
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Official/political
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Computer
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Programming
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Political
Predictive models are incredibly powerful when based on a unified customer profile,
The new predictive models raise the scientific level in our new product development,
statistical and predictive models and professional services to assist with implementing the solution.”.
was launched to develop new predictive models and software tools.
There have been good experiences with analytics and predictive models, for example in the paper industry,
will build predictive models with the data you collect.
The project has stimulated collaboration between the project parties and will continue after the end of the project in the form of two different projects aiming to develop predictive models for selectivity in pharmaceutically relevant chemical reactions.
improving new predictive models of disease.
Predictive modelling, machine learning and statistical analysis for big data.
This predictive model is available online in the Cortana Intelligence Gallery.
Use R to support predictive modelling and machine learning.
Learn more about predictive modelling.
non-destructive evaluation and predictive modelling of performance for progress in materials science and engineering.
Other points that are highlighted in the strategy are importance of informatics and predictive modelling; enhancing nanomaterial research through prioritisation,
Gain in-depth knowledge of analytical and predictive modelling skills as well as management, communication and consultancy skills.
Glaeser and colleagues estimate that the predictive model that won the open call would improve the productivity of restaurant inspectors by about 50.
1. Create a predictive model for the fibre wall thickness on the Iggesund softwood line.
Besides creating a predictive model one will also evaluate the potential in this project concept.
A predictive model has been developed and relevant input parameters that are required for analysis
Take advantage of technologies like predictive modelling and contribution analysis to use your profiles to anticipate