本术语表中列出了一般的机器学习术语和 TensorFlow 专用术语的定义。
一种统计方法，用于将两种或多种技术进行比较，通常是将当前采用的技术与新技术进行比
较。A/B 测试不仅旨在确定哪种技术的效果更好，而且还有助于了解相应差异是否具有显著
的统计意义。A/B 测试通常是采用一种衡量方式对两种技术进行比较，但也适用于任意有限
数量的技术和衡量方式。(The general term for machine learning and the definition of TensorFlow specific terms are listed in this glossary.

A statistical method used to compare two or more technologies, usually compared with the current technology and the new technology.

A. A/B tests are not only designed to determine which technology has a better effect, but also to help understand whether the corresponding differences are significant.

The statistical significance. A/B tests are usually compared to two techniques in a way of measurement, but it also applies to arbitrarily limited.

The amount of technology and measurement.)