大数据,预测分析和机器学习

Pariwat Ongsulee, Veena Chotchaung, Eak Bamrungsi, Thanaporn Rodcheewit
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引用次数: 19

摘要

如今,数据是由如此多的设备产生的,因此有了大数据这个词。本文试图为大数据提供一个更广泛的定义,以捕捉其定义特征。本文还强调了使用机器学习为预测分析设计新工具的必要性,机器学习是计算机科学领域人工智能的一个子集,通常使用统计技术赋予计算机“学习”数据的能力(即,逐步提高特定任务的性能),而无需明确编程。有了丰富的数据,预测模型和经过训练的机器学习,高管们将在决策过程中变得更好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Big Data, Predictive Analytics and Machine Learning
Nowadays, data is being generated by so many devices, therefore the term big data. This paper attempts to offer a broader definition of big data that captures its defining characteristics. This paper also reinforces the need to devise new tools for predictive analytics using machine learning which is a subset of artificial intelligence in the field of computer science that often uses statistical techniques to give computers the ability to "learn" (i.e., progressively improve performance on a specific task) with data, without being explicitly programmed. With the abundance of data, comes the prediction models along with the machine learning that has been trained, the executives will become better at their decision-making process.
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