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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Similarly, with machine learning algorithms, a common problem is over-fitting the data and essentially memorizing the training set rather than learning a more general classification technique.

同样，对于机器学习算法，一个通常的问题是过适合(原文为over - fitting，译者注)数据，以及主要记忆训练集，而不是学习过多的一般分类技术。

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Question: Which do you think is more important: 1 receiving good training in the memorizing of words, or 2 in the speaking of real English words and sentences?

SAYBOT：您觉得怎样在英语学习中，是记忆更重要，还是说话更重要？

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