Data engineering for intelligent inference: Statistical data

Sakti P. Ghosh
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Abstract

Statistical processing of data has been around for a long time. In biblical times people were concerned with census data for tax collection purposes. The history of usage of statistics data prior to the eighteenth century is not well documented. In the eighteenth century mathematicians, like Pascal, when they invented probability theory, found the use of statistical data for estimating probabilities. The use of relative frequencies for estimating probabilities of events, can be considered as the first attempt of data engineering for intelligent inference. Of course, data engineering did not surface until the invention of computers, which was another two centuries later. In these two centuries Statistics developed as a science, specially in the later part of the nineteenth and the first half of the twentieth century. The age of computers followed the maturity of the science of statistics.
智能推理的数据工程:统计数据
数据的统计处理已经存在很长时间了。在圣经时代,人们关心的是人口普查数据,以便征税。统计数据在18世纪以前的使用历史并没有很好的文献记载。18世纪,像帕斯卡这样的数学家发明了概率论,发现了利用统计数据来估计概率的方法。使用相对频率来估计事件的概率,可以被认为是数据工程智能推理的第一次尝试。当然,数据工程直到两个世纪后计算机的发明才浮出水面。在这两个世纪里,统计学发展成为一门科学,特别是在19世纪后半叶和20世纪上半叶。计算机时代是随着统计学的成熟而到来的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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