在博文中，我曾援引某位第三方数据科学家的观察结果，发现培训信息集合当中包含的数量量越小、几类常见风险状况的发生可能性就越高。

In that same post, I cited a third party who observed that, for a data scientist, having less data in their training set means they're susceptible to several modeling risks.

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最后，导出了反映矢量量化器工作特性和率失真函数之间的数量关系的不等式串。

Finally, a series of inequalities is derived, which gives a quantitative relation between the performance of a vector quantizer and rate-distortion function.

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最后，导出了反映矢量量化器工作特性和率失真函数之间的数量关系的不等式串。

Finally, a series of inequalities is derived, which gives a quantitative relation between the performance of a vector quantizer and rate-distortion function.

youdao