Examples of using Datasets in English and their translations into Hindi
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Computer
Machine learning on massive datasets.
Datasets are available in several formats.
You can find some datasets here.
The datasets are available in various formats.
It works well even for large datasets.
People also translate
Datasets do not provide a credible answer.
Some qualitative datasets are analyzed without coding.
Fitzpatrick looked at 540cities in North America using three major datasets.
And be ready to include datasets you hadn't anticipated.
Combined datasets like this can be used to predict what you will want to buy in order to target ads.
Unfortunately, machine learning apps using these biased datasets will amplify those biases.
I have a few big datasets for which I would like to get the correlations with one specific variable of that same dataset.
During the analysis, scientists studied on 42 datasets using many different research designs.
By using large datasets gathered from social media websites, one can look at people interacting in everyday settings.
This can present aproblem for people using very large datasets, and may result in lost data.
The backscatter thresholding algorithms were used to find the dry snow and glacier covered area with single SAR image datasets.
By combing through extremely large datasets, analysts can reveal patterns in your behavior.
In other words, sparsity is a fundamental problem for efforts to“anonymize” data,which is unfortunate because most modern social datasets are sparse.
Users can consume these thematic datasets and integrate into their systems as OGC Web Services.
I'm using it in production codewhere I frequently need to import large datasets, and I'm pretty happy with it.
This is a typical situation, when you have two datasets, in which the same observations are named differently, and you need to rename one of them….
Data donors will soon be provided a specific set of published guidelines on how to submit their valued datasets for the advancement of ocean science.
Either paying suppliers multiple times for overlapping datasets or being locked into paying for information they don't need benefits no one.
In this article, we will show you our solution,the focus signal, and show how it performs reliably across a range of different datasets and architectures.
After that we will make adjustments to the designs based on those two datasets, to be followed by a full-scale prototype and sea trials.”.
Analyze big datasets such as for example genomic series data natural data, and data data regarding clinical or basic research functions.
The result of the bias amplification means that simply leaving the datasets as-is because it represents“reality”….
This includes R- a programming language renowned for its simplicity, elegance and community support- and Hadoop- an open source,Java-based programming framework for large datasets.
Networks with the focus signal achieved>98% accuracy in all datasets and configurations, networks without the focus signal only achieved>98% in 4 out of 9 configurations.
To assess how human-induced climate influences and natural variability affect New Zealand glaciers requires the use of climate models,snowline observations and other datasets.