Examples of using A data set in English and their translations into Chinese
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Political
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Ecclesiastic
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Programming
The long-term collection of data on protected areas has produced a data set which is currently finding wide acceptance as an indicator for the environment.
Not only do these tools enable industrial employees to visualize a data set, but they can also assist in physical labor jobs.
Commonly, two statistical data sets are compared, or a data set obtained by sampling is compared against a synthetic data set from an idealized model.
Given a data set of emails, we could construct a vector for each email.
It breaks down a data set into smaller and smaller subsets while at the same time an associated decision tree is incrementally developed.
A data set might be organized by geography or climate, for example, each of which will produce a very differently shaped map.
NASA has created a data set to predict the failures of Turbofan engines over time.
One ML model trains on a data set and then creates video forgeries, while the other attempts to detect the forgeries.
It's good to have a data set that illustrates equipment's health and performance throughout its lifetime and shows identifiable failures.
Create a new set from an existing set if you want to modify a data set that already exists for that shape.
Kaplan and Stanford's Joshua Rauh used Forbes'“rich list” as a data set on the wealth of the richest Americans.
For the study, scientists required a data set of unprecedented breadth and depth.
This is a great example of a data set that should clearly be accessible online.
Exploratory data analysis is an approach for summarizing and visualizing the important characteristics of a data set.
Estimating the number of clusters in a data set via the gap statistic.
People from all over the world added data and in under 24 hours they had a data set for everyone to use.
They demonstrate the first capability using CLEVR, a data set of simple objects.
The researchers used a data set of 235 fish populations located in 38 ecological regions around the globe.
We have a data set with 10 attributes(features, variables, columns…) and one label(target, class…).