Examples of using Data preparation 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
Leica iCON office- data preparation software Excavator.
The ultimate software for site data preparation.
Time Series Insights requires no upfront data preparation and works fast, connecting you to billions of events in your Azure IoT Hub in minutes.
MLOps- DevOps for machine learning- streamlines the end-to-end lifecycle, from data preparation to deployment and monitoring.
With Modeler, starting the process is very quick because the data preparation and modelling components are drawn directly into the workflow, after which their attributes are clicked into place.
The more advanced users also have a need to add their own data- known as Data Blending- which falls within the area of Self-Service Data Preparation.
Moreover, it has ePLACE, a data preparation software package.
MASK(SEMI standard P44) format was performed on Applied's Aera2™ advanced mask inspection systems using Mentor Graphics' mask data preparation software technology.
But our parallel approach of the thermal calculation algorithm uses data preparation just once,
No upfront data preparation is required, simply point Time Series Insights to IoT
The work effort is commonly divided into 80% data preparation and 20% analytics.
With Synopsys' long-term experience in mask data preparation and Carl Zeiss' know-how in in-die metrology,
Among the leading suppliers of independent programs for Self-Service Data Preparation we find companies such as Alteryx.
the sophisticated operating and data preparation software are convincing evidence of the SB250 Series being part of the modular toolset Vistec is offering to its customers from the industry and applied research sector.
clustering, data preparation, visualisation and statistical functions.
As is always the case with data conversion tools, data preparation is the first step of the process.
This program focuses on important information systems concepts that support decision making, including data preparation, modeling, analysis,
Community contribution to the collection and preparation of data.
Community contribution to the collection and preparation of data.
As a data scientist, she is largely responsible for the analysis and preparation of data, which requires the intensive use of statistics and mathematics.