In this type of learning, the goal is not to maximize a utility function, but simply to find similarities in the training data.

这类学习类型的目标不是让效用函数最大化，而是找到训练数据中的近似点。

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Supervised learning is tasked with learning a function from labeled training data in order to predict the value of any valid input.

监管学习的任务是学习带标签的训练数据的功能，以便预测任何有效输入的值。

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So far, a major theme in these machine learning articles has been having algorithms generalize from the training data rather than simply memorizing it.

到目前为止，众多有关机器学习的文章中一个重要的主题是利用算法对训练数据进行总结归纳，而不是简单的记忆。

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One option, she says, is to give existing analytics specialists new training in big-data skills such as the programming language Python.

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