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Larger data is simultaneously more costly to archive and easier to corrupt.
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In group two, larger data are below the freezing level.
Although a large data is accumulating on making alterations in microbial enzymes, there is a lack of definite information on redesigning industrial enzymes.
In the other 250-plus districts, including New York City's, by far the state's largest, data was either unavailable or officials did not respond to requests for information.
Large data are now being acquired while drilling, however not all of the data available is utilized appropriately to get the big picture of the well being drilled.
These large data are interesting to government or companies for big data analysis.
The impact on organisational culture, staff and interpretability issues were pointed out by 58% and the difficulties in migrating large data were pointed out by half of participants.
Presently, most tasks done with large data are signal refinement or evaluation and hypothesis testing.
For larger deviations, data is reported as missing.
Classification in large-scale data is a key problem in big data domain.
Getting good quality large scale data is the biggest barrier to adopting deep learning.
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CEO of Professional Science Editing for Scientists @ prosciediting.com