Examples of using Datasets in English and their translations into Hebrew
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Open up the datasets.
Datasets are expressed as means± SD, n= 6.
They provide three datasets.
However, the datasets were not always complete.
NE: Do you have other datasets?
People also translate
There are free, open datasets that already exists.
Performs well with large datasets.
UCR STAR contains 102 datasets and 5 billion records.
This site provides two main datasets.
Firms build these datasets all the time.
All analyses are based on anonymized datasets.
To date, such datasets have only been available for the most recent years.
This is especially important when dealing with large datasets.
If you only allow single versions of datasets, these improvements remain hidden.
You can useCKAN Categories to create and manage collections of datasets.
You will work with some large multi-million record datasets, and also mine Twitter feeds.
Organizations are used to create, manage and publish collections of datasets.
Pages Histories, workflows and datasets can include user-provided annotation.
You will beable to perform advanced statistical analysis of datasets using Python.
The datasets, order of contents, and levels of difficulty were developed after careful consideration.
Many of these systems alsosupport the XQuery query language to retrieve datasets.
I also created Commons Datasets, allowing wikis to reuse content beyond images, and paving the way to shared multilingual templates.
Tight integration of Pages with Histories, Workflows, and Datasets supports this goal.
With the current abundance of massive biological datasets, computational studies have become one of the most important avenues for biological discovery.
BigQuery is a Google Developers tool thatlets you run super-fast queries of large datasets.
Some national governments haveestablished procedures for enabling data access for some datasets, but the process is especially ad hoc at the state and local levels.
In other words, sparsity is a fundamental problem for efforts to“anonymize” data,which is unfortunate because most modern social datasets are sparse.
In practical applications, a rule needs a support of several hundred transactions before itcan be considered statistically significant, and datasets often contain thousands or millions of transactions.
We are continuing to mature the initial approach, prioritizing on experimenting with alternative encoding techniques for improved precision,while also extending the evaluation to further datasets and AI tasks.