# E

**Embedding (Word Embedding)（嵌入/词嵌入）**

某个实例中所含的某个数学结构的另一个实例，例如作为另一个组的子组的组。

**Ensemble Methods（集成方法）**

在统计和机器学习中，集成方法使用多种学习算法来获得更好的预测性能，而这种性能可以单独从任何组合式学习算法中获得。与统计力学中通常是无限的统计集成不同，机器学习集成仅由一组有限的替代模型组成，但通常允许在这些替代模型之间存在更灵活的结构。

**Entropy（熵）**

随机数据源传达的平均信息量。

**Epoch（时期）**

在深度学习模型训练场景中，完整训练数据集的一次训练循环。


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