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Without realizing it, data have been companions to humans throughout their existence. That assertion, implicit when mathematics formulates human interests, is the indirect embodiment of data, which in concepts and principles are an abstraction of reasoning. Part of that reasoning accumulated into statistics as a branch of mathematics, partly into the field of optimization and data mining and partly disbanded as a particular science. However, the data have a different point of view according to its understanding, conception, and application. This point of view states the data according to its interpretation. Understanding spread across various scientific fields—such as medicine and health, agriculture and production, engineering and industry, etc.—requires transformation into one general concept that is systematic and organized. Although the basic sciences and applied sciences grow according to their methodology and subjects, in reality, empirical science presents data as empirical evidence. In peak load proof, computer technology comes as an answer to weak arithmetic. What’s more, the advent of artificial intelligence technology continues the longstanding tradition of privileged computer programming but is still tied to the old view of data. However, on various occasions, there are indications of the emergence of a new science that is directly related to data, which is then known as data science. Data science is at the crossroads of all the scientific fields that seek to make its principles as base of those fields; it’s there that data science find its core.
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