What is the translation of " LOGISTIC " in English?

• logistic

Examples of using Logistic in Chinese and their translations into English

第2课线性回归与Logistic。
Session 2: Linear and Logistic regressions.

你可能好奇logistic回归和线性回归之间的区别是什么。
You may be asking yourself what the difference between logistic and linear regression is.

在Logistic回归中，为了计算输出（y=a），我们使用下面的计算图：.
In logistic regression, to calculate the output(y= a), we used the below computation graph:.

你可能会好奇：logistic回归和线性回归之间的区别是什么。
You may be asking yourself what the difference between logistic and linear regression is.

采用logisticsigmoid表示方法的原因在4.2节已经讨论过。
The motivation for the logistic sigmoid representation was discussed in Section 4.2.

它具有sigmoid形状，并在图4.9中与logisticsigmoid函数做了对比。
It has a sigmoidal shape and is compared with the logistic sigmoid function in Figure 4.9.

Logistic函数的形状看起来像一个大的「S」，它会把任何值转换至0-1的区间内。
The logistic function appears like a big‘S' and will change any value into the range 0 to 1.

这里，我们使用到了logisticsigmoid函数的导数的性质（4.88）。
Here we have used the property(4.88) for the derivative of the logistic sigmoid function.

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.

因此特征处理在Logistic和线性回归的性能方面起着重要的作用。
Therefore Feature Engineering plays an important role in regards to the performance of Logistic and also Linear Regression.

我们需要的是一个总是返回0到1之间的值的函数，而logistic函数就是这样做的。
What we need is a function that will always return values between 0 and 1, and the logistic function does just that.

Logistic回归是一个非常浅的模型，因为它只有一层（记住我们不把输入作为一个层来计算）：.
A logistic regression is a very shallow model as it has only one layer(remember we don't count the input as a layer):.

为了将这个sum值转换成0到1之间的概率值，我们采用logisticsigmoid函数：.
To convert this sum into a probability, which is a number between 0 and 1, we apply the logistic sigmoid function:.

Logistic回归并非最强大的算法之一，它可以很容易地被更为复杂的算法所超越。
Logistic Regression is also not one of the most powerful algorithms out there and can be easily outperformed by more complex ones.

现在我们将数据整理好了，我们可以编写一个用TensorFlow训练logistic分类器的脚本。
Now that we have the data sorted out, we can write a script for training the logistic classifier with TensorFlow.

Logisticsigmoid函数我们已经在之前的章节遇到过了，且在许多分类算法中都有着重要的作用。
The logistic sigmoid has been encountered already in earlier chapters and plays an important role in many classification algorithms.

对最终输出的预测是一个非线性的S型函数，称为logisticfunction,g()。
The prediction for the final output is transformed using a non-linear S-shaped function called the logistic function, g().

作为组合预测模型建立的基础，本文首先分别建立线性回归和Logistic回归模型。
As the basis of the combination forecasting model, the linear regression and Logistic regression model are established, respectively at first.

每个单位的条件概率分布由其接收的输入的logisticsigmoid函数给出:.
The conditional probability distribution of each unit is given by the logistic sigmoid activation function of the input it receives:.

随机效应Logistic回归模型用于检验任何营销前特征与上市后安全行为是否相关。
A random effects logistic regression model was used to test whether any pre-marketing characteristics were associated with either post-marketing safety action.

注：此处可以很好地指出深度学习和更传统的算法（如logistic回归）之间的区别。
Note: This is a good place to point out the difference between deep learning and more traditional algorithms such as logistic regression.

Logistic回归：Logistic回归是一种使用一个或多个解释变量对二项式结果建模的强大统计方法。
Logistic Regression: Logistic regression is a powerful statistical way of modeling a binomial outcome with one or more explanatory variables.

每个神经单元(unit)的条件概率分布由该unit接收到的输入的logisticsigmoid激活函数给出:.
The conditional probability distribution of each unit is given by the logistic sigmoid activation function of the input it receives:.

我们讨论两种非常流行但是不同的方法，都是采用线性的log-odds或者logits：线性判别分析和线性logistic回归。
We discuss two very popular but different methods that result in linear log-odds or logits: linear discriminant analysis and linear logistic regression.

他经营有方，连同其他林业企业家是更大物流网络-HPLogisticNetworkLtd的一部分。
His business is doing well, and it is a part of a bigger logistics network, HP Logistic Network Ltd together with other forestry entrepreneurs.

最终，可以训练出一个有监督学习算法（例如svm,logisticregression等），得到一个判别函数对y值进行预测。
Finally, we can train a supervised learning algorithm such as an SVM, logistic regression, etc. to obtain a function that makes predictions on the values.

LogisticBusiness是运输网站的专用主题，如货运和运输公司，物流服务，运输网站和货物运输….
Logistic Business is a dedicated theme for transportation websites, like trucking and shipping companies, logistic services, transport websites and cargo delivery agencies.

Logistic回归引入了伯努利分布（Bernoullidistribution）中的对数似然概念，并涉及到了一个称作sigmoid函数的简单变换。
Logistic Regression introduces the concept of the Log-Likelihood of the Bernoulli distribution, and covers a neat transformation called the sigmoid function.