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Big Data, Predictive Analytics and Machine Learning

机译:大数据,预测分析和机器学习

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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.
机译:如今,数据由如此多的设备生成,因此称为大数据。本文试图为大数据提供更广泛的定义,以捕捉其定义特征。本文还强调需要设计新的工具来使用机器学习进行预测分析,机器学习是计算机科学领域人工智能的子集,通常使用统计技术使计算机具有“学习”的能力(即,逐步提高计算机的性能)。一个特定的任务)与数据相关联,而无需进行显式编程。有了大量的数据,预测模型和经过训练的机器学习就会出现,高管们将在他们的决策过程中变得更好。

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