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Furthermore, we show that designing ground-truth samples on the basis of the acoustic diversity data allows the biological data to "speak" for itself.
Hold all schools to account, but consider different types of inspections such as school evaluations, and allow the data to speak for itself.
It's probably the most regressive tax cut in the past 50 years, but there's not enough data to speak with absolute confidence.
That is, we would like the data to "speak its own mind", instead of being beaten into submission by often-arbitrary "semantic" labels.
For example, managers often directly suggest what kinds of features to use in a machine-learning model, rather than allowing the data to speak for itself.
As Dr. Carlsson explained it, "The idea is to get the data to speak to you in a more unfiltered way".
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Putting this all together, data science is no longer about analyzing data or giving our data the opportunity to speak to us.
Instead of approaching the data with preconceived assumptions, the data were allowed to "speak for themselves".
Together, these two let developers create apps where users can speak to input data, and the app itself can use an ever-changing base of data to craft spoken replies — both of which are put to use in Spell Up.
Together, these two let developers create apps where users can speak to input data, and the app itself can use an ever-changing base of data to craft spoken replies — both of which are put to use in Spell Up. .
As John Gillan, Google's head of retail, commented: "They give you niche data that allow you to speak to customers better than ever before".
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com