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This massive quantity of data hold the promise of supporting a wide range of medical and healthcare functions, including clinical decision support, sensor-based health condition and food safety monitoring, disease surveillance, and population health management, etc. [4, 5, 6].
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It has not, however, blunted her confidence in a forecasting methodology that involves analysing massive quantities of data.
Although the first cheques have been written, investments in precision medicine, which rely on massive quantities of data to deliver more targeted care, may not continue.
In the opening pages, Gibson describes "the colorless nonspace of the simulation matrix, the electronic consensus-hallucination that facilitates the handling and exchange of massive quantities of data". .
"Medicine is well on its way to becoming an information science: doctors and researchers are now able to harvest and mine massive quantities of data from patients.
The data was accessible to us through an in-house data warehousing layer of our Hadoop clusters, called Hive, which made querying Facebook's massive quantities of data easy.
This expert systems approach is antithetical to today's conceptions of deep learning whereby a machine learning model is trained on massive quantities of data to produce a conclusion based on inductive reasoning.
With the Large Hadron Collider set to resume operation early next year, particle physicists will need more powerful analysis techniques to sift through the massive quantities of data it spits out.
The investor said, "Cardiogram is doing something I'm excited about in general, which is taking massive quantities of data from new sources, in their case from wearables…and applying state of the art machine learning techniques to it so that people can gain something from it on their own".
Arena describes its new technology as "a patent pending extension… The way in which it works it takes millions of precomputed and crowdsourced travel options that we derive from our search algorithms and syncs them in a cloud environment that can interrogate massive quantities of data at lightening fast rate.
In an era of Smarter Analytics, it is imperative that businesses leverage the massive quantities of data available to them.
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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