Examples of using Data set in English and their translations into Serbian
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Colloquial
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Ecclesiastic
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Computer
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Latin
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Cyrillic
Such algorithms typically require one to encode the given classical data set into a quantum computer to make it accessible for quantum information processing.
The checksum gives you a quick way to determine whether errors have been introduced into that data set during storage or transmission.
And the term supervised learning refers to the fact that we gave the algorithm a data set in which the"right answers" were given.
In order to take full advantage of this enormous new data set, it needs to be filtered
because it's been created on a universal data set.
But Rieke warns that method can also pick up“silly patterns that are nonetheless real and prominent in a data set.”.
Before data mining algorithms can be used, a target data set must be assembled.
it's going to provide a completely radical new data set about our changing planet.
These leads are great for marketing to a small minimum order on this data set so you can run a small campaign test without breaking.
The checksum gives that you quick strategy to determine whether errors are already introduced into that data set during storage or transmission.
It could be used to predict any outcome that will eventually be collected in any longitudinal social data set.
All I did is I counted this data set, and I did this first.
then we have achieved k-anonymity for the data set.
In one data set, a value of 1.1 may already be an outlier,
Longitudinal data is a data set that tracks the same patient over the course of many months or years.
This data set also allowed us to statistically control for a number of things that we knew were both related to political orientation
(Laughter) The point of this isn't necessarily that every single data set has to relate specifically to you.
the target data set must be large enough to contain these patterns while remaining concise enough to be mined within an acceptable time limit.
So we're given the data set and we're not told what to do with it
present in the data, the target data set must be large enough to contain these patterns while remaining concise enough to be mined within an acceptable time limit.