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Kaggle's platform for predictive modeling competitions helps companies, governments, and researchers identify solutions to some of the world's hardest data problems by posting them as competitions to a community of more than 17,000 PhD-level data scientists located around the world.
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Hard data are elusive.
Hard data is scant.
Ask for the hard data.
But they had no hard data.
Now imagine hard data substituting for happenstance.
"Without more hard data, we can only speculate," he said.
But wouldn't some hard data make it easier?
This is hard data, he explains, not comment.
But the hard data is not so good.
Hype met hard data and Groupon's bubble went pop.
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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