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Part of this decision-making is an experience-based and nonlinear process resulting from a huge amount of data.
Data mining refers to the discovery of knowledge from a huge amount of data (Nie et al. 2011).
The main concept in Big Data analytics is extracting a meaningful pattern from a huge amount of data.
In this application area, relevant information has to be extracted from a huge amount of data coming from various sensor types.
The principle is basically the same: DeepMind is set to a task, and then it learns from a huge amount of data to make decisions and produce a desired outcome.
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Only from having a huge amount of data, and a constant flow of data, does one get to see each new seed could really make a huge difference.
This relates the CAT to a huge amount of data from patients from different countries, with different diagnoses, during different treatment phases, and receiving different treatments.
Repeat millions of times, checking those guesses against a huge amount of data gathered from the web.
Health care produces a huge amount of data, including protected health information (PHI), data from medical devices, information contained in electronic health records, administrative data, claims data, information contained in patient health surveys, and clinical trials data.
This process generates a huge amount of data.
The business generates a huge amount of data.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com