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"noisy data" is a correct and usable phrase in written English.
You can use it to describe data that is difficult to accurately interpret or unreliable due to inconsistencies or inaccuracies. For example, "The researcher found that the data from their survey was too noisy to draw any useful conclusions."
Exact(60)
Most other economic data exist in small, noisy data sets.
These algorithms are suitable when noisy data sets are classified.
Cases of complete, incomplete and noisy data are considered.
Teanby, N. Constrained smoothing of noisy data using splines in tension.
A drawback of the SVMs is that they are computationally intensive and sensitive to noisy data.
That's because many methods that screen for likely voters are poor and yield noisy data.
You are taught how electrical engineers detect signals embedded in noisy data.
Prior to analysis, too noisy data were rejected by manual inspection (StO2 outside 0 100%).
Wrangling noisy data, she investigates how to make wearable and sensor data useful and interactive.
I mean, this is typically thought of as very noisy data.
This "backwards" stepping was to avoid the noisy data at the beginning of the range.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com