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训练线性模型的目标是确定每个特征的理想权重。
The goal of training a linear model is to determine the ideal weight for each feature.
这种方法通常对简单线性模型和神经网络有益。
Second method usually beneficial for simple linear models and neural networks.
线性模型的回归方程采取如下形式:Y=b0+b1x1。
The regression equation for the linear model takes the following form: Y= b0+ b1x1.
线性模型并不比深度神经网络具有更高的可解释性。
Linear models are not strictly more interpretable than deep neural networks.
例如,线性模型可以表明数据中的增大或减小速度稳定。
For example, a linear model can show a steady rate of increase or decrease in the data.
这到底是炒作还是线性模型真的是我们所需要的?
Is the hype real or are linear models really all we need?
因此,你不能用广义线性模型或多变量回归来拟合。
Thus, you cannot fit a generalized linear model or multi-variate regression using this.
设计矩阵常用于一些统计模型,如一般线性模型,方差分析中。
The design matrix is used in certain statistical models, e.g., the general linear model.
由此产生的主要和交互影响则通过广义线性模型进行分析。
Main and interaction effects were analyzed with generalized linear models.
统计模型:包括线性模型和广义线性模型的主要方面。
Statistical Modelling: covers the main aspects of linear models and generalized linear models.
SVM(支持向量机)是线性模型,类似线性/逻辑回归。
SVM is a linear model, such as linear/logistic regression.
对于回归问题,线性回归是最简单的线性模型
For regression problems, linear regression is the most simple linear model.
解释概率模型:logit、probit以及其他广义线性模型.
Interpreting Probability Models: Logit, Probit, and Other Generalized Linear Models.
经典线性模型(ClassicalLinearModel):全套经典线性模型假定下的复线性回归模型。
Classical Linear Model: The multiple linear regression model under the full set of classical linear model assumptions.
构建线性模型.
Building the Linear Model.
构建线性模型.
Building a linear model.
过程模型线性模型..
The process model is linear.
该模型为线性模型
It is a linear model.
广义线性模型(GLMs.
Generalised linear models(GLMs.
Mnist数据集载入线性模型.
Pooling of data in the linear model.