假设数据 英语是什么意思 - 英语翻译

• assume that the data

在 中文 中使用 假设数据 的示例及其翻译为 英语

假设数据在A~F列。
Assume that the data is in columns A: F.

对于GMM，我们假设数据点是高斯分布的;
With GMMs we assume that the data points are Gaussian distributed;

对于GMMs，我们假设数据点是高斯分布的；.
With GMMs we assume that the data points are Gaussian distributed;

所以，一般会假设数据服从某个分布。
This assumes that the data follows a distribution.

假设数据具有正常分布的检验。
Assumption that the data follows normal distribution.

假设数据是正确的，我们似乎可以说，是的，满月会影响睡眠。
Assuming that the data are correct, it seems fair to say that, yes, the full moon can affect sleep.

我们假设数据是由这些模型中的一个生成的，但是不知道究竟是哪一个。
We shall suppose that the data is generated from one of these models but we are uncertain which one.

然後接着让我们假设数据的长度是变动的，最多高达128个字符。
And then let's assume the data is variable length, up to a maximum of 128 characters.

当接收到温度时，假设数据具有“现在”的时间参考。
When the temperature is received it is assumed that the data has a temporal references of"now".

最常见的结构学习算法假设数据由一个贝叶斯网络生成，这时结构为一个有向图模型。
The most common structure learning algorithms assume the data is generated by a Bayesian Network, and so the structure is a directed graphical model.

然而，logistic模型和probit模型都假设数据点被正确标记了。
However, both the logistic and the probit models assume the data is correctly labelled.

这里我们假设数据是遍历的也是平稳的，例如无记忆信源。
(Here we assume the data is ergodic and stationary, e.g., a memoryless source.).

百分位依赖并假设数据遵循正态分布，在所有情况下可能并非如此。
Percentiles rely on and assume that data follows a normal distribution, which may not be the case in all situations.

一种简化的方法是假设数据嵌在高维空间的一个非线性流形上。
One approach to simplification is to assume that the data of interest lie on an embedded non-linear manifold within the higher-dimensional space.

我假设数据来自一个自底向上组织完好的包，或者至少有一组明确的步骤可以遵循。
I would assumed data came in a nice organized package with a bow on top, or at least a clear set of steps to follow.

鉴于全球互联网流量在2016年超过泽字节，假设数据需求将持续增长是明智之举。
Given that global internet traffic surpassed one zettabyte in 2016, it's wise to assume that data demands will keep growing.

相反，他们的讨论强调了“我们假设数据满足假设SR1-SR5”的事实。
Instead, the discussion here emphasises the fact that“we assume the data… satisfy assumptions SR1-SR5”.

Estimand是一个数学公式，根据假设提供从任何可用假设数据中回答查询的方法。
The Estimand is a mathematical formula providing a recipe for answering the Query from any hypothetical data whenever available.

假设数据具有正常分布的检验。
It is assumed that the test statistic has a normal distribution.

假设数据在A1:A8单元格，那么输入以下公式.
Assuming your data is in range A1 to A8, the formula would be.

默认情况下，t.test会假设数据是不成对的。
By default, t. test assumes that your data are not paired.

这是Weave技术进来的地方，因为它假设数据应该结构化。
This is where Weave comes in, because it does suppose how the data should be structured.

还有一点值得考虑：对带宽成本的影响，假设数据不全在远端。
Also worth consideration: the impact on your bandwidth costs, assuming the data doesn't all make it to the far end.

上述的请求将会返回前25个记录，假设数据集中至少有25条记录。
The above request would return the first 25 items, assuming there were at least 25 items in the data set.

我们假设数据在后台线程中生成，这将导致Subscriber从同一后台线程得到通知。
The assumption is that data is produced in a background thread, causing subscribers to be notified in that same background thread.

在模型中，假设数据变量由一些未知的潜在变量线性混合，混合方式也是未知的。
In the model, the data variables are assumed to be linear mixtures of some unknown latent variables, and the mixing system is also unknown.

现在我们已经有了一个备份点，假设数据可能被损毁了或者由于某些原因需要进行恢复。
Now that we have a backup at some point we can assume the data may become corrupted or need to be restored for some reason.

在该模型中，假设数据变量是一些未知潜在变量的线性混合，并且混合系统也是未知的。
In the model, the data variables are assumed to be linear mixtures of some unknown latent variables, and the mixing system is also unknown.

在该模型中，假设数据变量是一些未知潜在变量的线性混合，并且混合系统也是未知的。
In this model, data variables are assumed to be a linear mixture of some unknown variables and mixing system.

现在，让我们假设数据分析师得出结论，广告展现的客户购买产品的可能性比没有广告展现的客户高20%。
Now, let's suppose your data analyst concludes that customers shown an advertisement are 20% more likely to purchase your product than those who were not.