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Embedded in these big data are valuable information and knowledge.
The technical challenges of using big data are very real.
Open data and big data are trending online, in conferences, in debates and in conversations.
Greenberg said the privacy concerns over big data are "completely overstated".
Big data are the most concerned topic nowadays in all walks of life.
First, the background of semantic extraction and ontology representation for multimedia big data are addressed.
Machine learning, data mining or big data are interchangeable terms used in pattern finding processes.
"Big data" are increasingly discussed in academic venues and elsewhere as an unquestioned good.
Artificial intelligence and big data are the transformation phenomena of our time.
The dehumanizing effects of big data are well known and Tenner adds no groundbreaking insight here.
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The terms 'open data' and 'big data' are often conflated – but are not necessarily the same.
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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