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Mimno takes issue with a New York Times article suggesting that there are lots of "data janitors" who "wrangle" or "munge" datasets before they can be usefully applied: Data carpentry probably has something to do with wishing I could make things like Carrie Roy, but I should start by saying what I don't like about the "data cleaning" or "janitor work" terms.
Even with a high-quality cancer registry, problems with the applied data may cause more bias to the estimated values than the applied model assumptions.
The teams applied data science to a problem in education.
Weekly readings and discussion of applied data science topics.
I applied data pre-processing methods to the Rendition Project database of flights.
He switched to applied data science at the California Invasive Plant Council in 2010.
In a panel later that day, gerrymandering was examined as an example of applied data analytics.
CVS also applied data to another problem: how to get customers to adhere to their prescriptions.
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The simulation results show the effectiveness of the applied data-driven scheme.
Whichever modeling strategy is being applied, data-intense steps are involved in the process.
Though still in its infancy and struggling to work out the most pragmatic approach to applied data-crunching, the very presence of our human-built data curation is a promising beacon of inherent wisdom waiting to be tapped.
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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