世界数据透视

M. K. Nasution
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引用次数: 0

摘要

只从一个方面考虑世界是不简单的,但分析所有方面可能会影响理解,而无法深入了解核心。在一个词作为一个整体,有可能告诉整个世界在一个词,即数据,导致解释作为现象和范式在本评论的核心。双方的拉锯战解释了数据代表世界,反之亦然,并提出了一种基本观点,即系统或子系统构成了世界,即使它们是由文化、规则或民主门槛等方法编码和组成的。当COVID-19大流行构成威胁时,人类的努力有助于找到世界提出的问题的潜在答案:什么、谁、在哪里、何时、为什么和如何(5 wh);以挑战的形式召唤,用事实证明一些事情。所有这些问题导致了研究、教育和服务活动,它们各自的数据框架产生了结果。本文旨在通过外部视角的观察来揭示研究结果的意义。因此,就像COVID-19及其疫苗一样,在处理数据时断言凹凸矛盾会导致对数据的相互共轭处理。在这方面,统计和人工智能发挥着各自独立和互补的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
World on Data Perspective
It is not simple to consider the world from only one side, but analyzing all sides can cloud comprehension without reaching deep insight found at the core. In a word as a whole, there is potential for telling the whole world in one word, i.e., data, leading to interpretations as phenomena and paradigms at the core of this review. The tug of war between the two sides explains that data represent the world, or vice versa, and present a fundamental view that systems or subsystems frame the world, even though they are encoded and composed of culture, rules, or approaches such as the threshold of democracy. When the COVID-19 pandemic posed a threat, human efforts contributed to finding potentially answers to questions presented by the world: what, who, where, when, why, and how (5 wh); a calling in the form of a challenge, where facts show something. All these questions resulted in research, education, and service activities, with their respective data frameworks producing results. This paper aims to reveal the meaning of the outcomes through an observation from an outside perspective. Therefore, like COVID-19 and its vaccines, the assertion of convexity and concave contradictions in the treatment of data leads to a mutually conjugate treatment of data. In this regard, statistics and artificial intelligence play separate and complementary roles.
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