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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The support vector machine is a novel type of learning technique, based on statistical learning theory, which USES Mercer kernels for efficiently performing computations in high dimensional Spaces.

支撑矢量机是根据统计学习理论提出的一种新的学习方法，即使用核函数在高维空间里进行有效的计算。

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So I'd say machine learning is guided and inspired by the theoretical results you get from computational learning theory.

所以我想说，机器学习是引导和启发你从计算学习理论的理论结果。

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Helen Arzola teaches the youngest children. "A child before eight is a language learning machine.

VOA: special.2010.06.17

But I agree with your reader, Dan Kimberg, in that the magic is in the machine learning software, not the hardware components.

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The sharing of machine learning enables the protection of the rest of the system before they get hit.

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The second case is machine learning where the software applications are taught to anticipate consumer needs and respond to them quickly.

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