What is the translation of " 的线性回归 " in English?

linear regression
线性回归

Examples of using 的线性回归 in Chinese and their translations into English

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对美国专业网页开发人员薪水影响因素的线性回归分析.
Linear regression on factors that affect salary for professional American web developers.
下面我们在波士顿住房数据上使用简单的线性回归:.
Here we perform a simple linear regression of the Boston housing data:.
最简单的线性回归模型形式也是输入变量的线性函数。
The simplest form of linear regression models are linear functions of the input variables.
接着再来看一些具体的线性回归例子。
Let's consider a more a concrete example of linear regression.
我们先看下最原始的线性回归:.
We first set up the linear regression:.
在实践中,简单的线性回归通常被使用正则化的回归方法(LASSO、Ridge和Elastic-Net)所代替。
In practice, simple linear regression is often outclassed by its regularized counterparts(LASSO, Ridge, and Elastic-Net).
具有多个变量的线性回归也被称为“多元线性回归”。
Linear regression with multiple variables is also known as"multivariate linear regression".
实际上,简单的线性回归经常被正则化的同类算法(LASSO,Ridge和Elastic-Net)所忽略。
In practice, simple linear regression is often outclassed by its regularized counterparts(LASSO, Ridge, and Elastic-Net).
我们使用三个不同的估计器来拟合函数:具有1度,4度和15度的多项式特征的线性回归
We use three different estimators to fit the function: linear regression with polynomial features of degree 1, 4 and 15.
例如,可以通过从系数构建多项式特征来扩展简单的线性回归
For example, a simple linear regression can be extended by constructing polynomial features from the coefficients.
我们使用了三个不同的estimator来拟合该函数:带多项式feature的线性回归,多项式degree分别为:1,4和15。
We use three different estimators to fit the function: linear regression with polynomial features of degree 1, 4 and 15.
例如,如果我们仅根据平方英尺来预测公寓的租金,那么这是一个简单的线性回归
For example, if we predict the rent of an apartment based on just the square footage,it is a simple linear regression.
该方程中的第二和第三维里系数,可以使用Excel中简单的线性回归法从实验PρT数据计算出来。
The second and third virial coefficients in this equation can be computed fromexperimental PρT data using a simple linear regression available in Excel.
他们使用称为射线照相术的成像技术进行了机械测试,并使用简单的线性回归评估了刚度和韧性之间的关系。
They conducted mechanical testing, used an imaging technique called X-radiography,and evaluated the relationship between stiffness and toughness using a simple linear regression.
分析师将2008年至2017年的OECD石油库存和WTI原油价格进行了简单的线性回归
I performed a simple linear regression between OECD oil inventories and WTI crude oil prices for the period 2008 through 2017.
这是一种受惩罚的似然估计器,因此有点类似于岭回归:比传统的线性回归更灵活,更稳定。
It's a kind of penalized likehood estimator, and thus somewhat similar to ridge regression:more flexible and stable than traditional linear regression.
我们用三个不同的估计来拟合函数:多项式特征为1,4和15的线性回归
We use three different estimators to fit the function: linear regression with polynomial features of degree 1, 4 and 15.
原则驱动型故障模式和影响分析(FMEA)以及系统的线性回归可以综合确定轴承存在的潜在损坏。
The principle-driven failure mode and effects analysis(FMEA) and the system's linear regression identified the potential damage to bearings.
我们用三个不同的估计器(estimators)来拟合函数:阶数分别为1,4和15的多项式特征的线性回归
We use three different estimators to fit the function: linear regression with polynomial features of degree 1, 4 and 15.
复杂的变化空间指纹在区分相互竞争的假设上比简单的单时间序列多重线性回归更有效。
Complex spatial fingerprints of change can do a much better job atdiscriminating between competing hypotheses than simple multiple linear regression with a single time-series.
例如,可以通过从constructingpolynomialfeatures(系数构造多项式特征)来扩展简单的线性回归
For example, a simple linear regression can be extended by constructing polynomial features from the coefficients.
对于影响美国专业网页开发人员工资的影响因素的线性回归:包含CS相关交互变量.
Linear regression on factors that affect salary for professional American web developers with cs interaction variables.
在某些场合下,简单的线性回归或是决策树也有可能产生足够好的(甚至是非常好的)预测结果。
In other cases, a linear regression or a decision tree might produce adequate, or even very good, predictions.
最简单的线性回归模型形式也是输入变量的线性函数。
The simplest form of the linear regression model is also the linear function of the input variables.
但对于这个特定的线性回归模型,标准方程法是一个比梯度下降法更快的替代算法。
But for this specific model of linear regression, the normal equation can give you a alternative that can be much faster, than gradient descent.
首先考虑关于进行最大化,这可以通过与3.5.2节讨论的线性回归的情形相类似的方法计算。
Consider first the maximization with respect to α,which can be done by analogy with the linear regression case discussed in Section 3.5.2.
因此使用向量化实现方式,你应该是能够得到一个高效得多的线性回归算法。
So, using a vectorized implementation,you should be able to get a much more efficient implementation of linear regression.
蓝线为石油价格的线性回归线,红线为EUR/USD的线性回归线。
The blue line is the linear regression of oil prices,and the red line is the linear regression of EUR/USD.
在logistic回归算法中,输出是以默认类概率的形式出现的(不同于直接产生输出的线性回归)。
In logistic regression,the output is in the form of probabilities of the default class(unlike linear regression, where the output is directly produced).
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