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。

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

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在记忆过程中，把所学到的全部单词进行归纳、分类、整理，使其条理清晰，一目了解，然后再分别记忆。

In the memory process, to learn all the words summed up for sorting, its clarity, I understand the head, and then memory, respectively.

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神经网络具有良好的记忆、归纳和学习能力，对难以用数学方法建立精确模型的信息、工艺等能够进行有效地预测建模。

The neural network has the abilities of memory, induction & study , it can effectively build forecasting model for information & technics which are difficult to be built into an exact math model.

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