Examples of using Data sets in English and their translations into Hebrew
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Programming
Well suited to large data sets.
It's called transparency, open data sets, something the TED community is really on it.
Learn how to process and extract information from large data sets.
The existence of networks can be intuited from data sets that were presented as givens.
The F distribution can beused in an F-test that compares the degree of variability in two data sets.
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These are based on different data sets, with different degrees of precision and reliability.
Big data deals with the quantity, nature, context,consistency and quality of large data sets.
Use this chart type when there are multiple data sets which relate to each other in some way.
This field of study uses extremely advancedsoftware and techniques for understanding very large and complex data sets.
Use this chart type when there are multiple data sets which relate to each other in some way.
The methodology was sound,but computers weren't fast enough and there weren't enough large data sets to comb.
Artificial intelligence is often trained on vast data sets that even its creators haven't quite wrapped their heads around.
It isn't always feasible to compare the operation of multiple architectures,unless they have been evaluated on identical data sets.
Other firms cited“siloed data sets, regulatory compliance, fear of failure, and unclear internal ownership of emerging technologies”.
Returns population covariance,the average of the products of deviations for each data point pair in two data sets.
These data sets are composed of over two billion RDF triples which were interrelated through over two million RDF links back in October 2007.
Quantify existing relationships(quantify relationships fromhistorical data and apply those relationships to new data sets).
When you train the translator,you have got to get so-called parallel data sets, where every document occurs in at least two languages.
It allows them to safely connect between Hadoop-, NoSQL-and relational databases and simply and cost-effective analyze large and diverse data sets.
Big data is animportant field of study for any business that handles data sets far larger than common software tools can handle.
Often vast data sets, algorithms and tools are available in a range of organizations, but inaccessible to professionals and people, especially in an intelligible manner.
In the absence of this,the effort required to gather and scrub any credible data sets will be so large as to deter attempts to create them.
Hyper is designed to simultaneously process transactional and analytical queries without impacting performance resulting in the ability to scale up andperform sophisticated analysis on large data sets with.
Healthcare researchers could process and analyse larger data sets in real time, accelerating complex tasks such as genetic analysis and disease tracking.
Past studies of high-growth entrepreneurship and age have yielded conflicting results,based in part on small and selected data sets that researchers studied.
Another study by Pardis C. Sabeti of Harvard University andher colleagues used huge data sets of genetic variation to look for signs of natural selection across the human genome.
This paper reports the effects of gametechnology on student learning inmathematics as investigated in two data sets collected from slightly different subjects.
This paper reports the effects of gametechnology on student learning inmathematics as investigated in two data sets collected from slightly different subjects.