Examples of using Large datasets in English and their translations into Dutch
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Colloquial
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Official
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Ecclesiastic
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Medicine
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Financial
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Computer
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Ecclesiastic
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Official/political
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Programming
Large datasets can also create computational problems that are generally beyond the capabilities of a single computer.
Large datasets are a means to an end;
Create shareable folders for users and groups to share large datasets and collaborate with others.
In my experience, the study of rare events is one of the three specific scientific ends that large datasets tend to enable.
Researchers who don't think about systematic error will end up using their large datasets to get a precise estimate of the wrong thing;
studying heterogeneity, large datasets also enable researchers to detect small differences.
using large datasets from different field studies.
I primarily do lab research, whereas they specialise in analysing large datasets with computer technology.
create shareable folders for users and groups to share large datasets and collaborate with others.
Note: 64-bit Operating Systems are recommended if you are working with Large Datasets, Point Clouds
FileCatalyst's patented UDP-based protocol can send these large datasets to any storage location at exceptionally fast speeds,
Although large datasets don't fundamentally change the problems with making causal inference from observational data, matching and natural experiments-two techniques that researchers have developed for making causal claims from observational data-both greatly benefit from large datasets.
could be a tremendous additional weapon to help biologists interpret the very large datasets we're generating now.
methods to search for, link up and detect trends in large datasets such as in BIM.
The backbone of the risk atlas will be a number of large datasets computed using a new transient global groundwater model(De Graaf et al., 2013) consisting of two model layers.
some of the biggest challenges enterprises face today are around amassing large datasets and feeding them into compute for analysis and pattern recognition.
This allows extremely large data-sets to be analysed without any loss of performance.
smoothly handle large data-sets.
With this larger dataset, repeat part d.
With this larger dataset, repeat part d.