... Consider 假设 Are these the same thing 它们是一样的东西嘛? – They print the same thing 它们输出了一样的东西 ...
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Thing I've got a little procedure that could do that, but you know the simplest thing I could do is to say well, gee, wait a minute, why don't I just check to see if these are the same thing?
这两个点是同一个点么?,我已经写了一小块代码,可以提供这个功能,但是你知道的我可以做的,最简单的事情就是说好,嗯?,等等,我为什么不直接去看看,这两个东西相等不相等呢?
When you assess an argument, you are concerned with the process of reasoning as well as its truthfulness (these are not the same thing).
当你评价一个理由,你就是参与进一个推理真实情况的过程中。
Actually, these are two different ways of measuring the same thing, so whether a model USES one or the other should make no difference to its predictions.
实际上,这些是对同一样东西测估所采用的两种不同的方式,因此一种模型使用其中一种方式或是另一种对预测的结果没有任何影响。
Thing I've got a little procedure that could do that, but you know the simplest thing I could do is to say well, gee, wait a minute, why don't I just check to see if these are the same thing?
这两个点是同一个点么?,我已经写了一小块代码,可以提供这个功能,但是你知道的我可以做的,最简单的事情就是说好,嗯?,等等,我为什么不直接去看看,这两个东西相等不相等呢?
Because these mixed second derivatives are the same thing.
因为这两个混合二阶偏导数,是相等的。
These are not necessarily the same thing.
它们不一定相同。
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