w6_2Regularized Linear Regression and BiasVariance编程解析

时间 2019-12-05

标签 w6 2regularized regularized linear regression biasvariance 编程解析繁體版

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w6_2Regularized Linear Regression and BiasVariance编程解析 1. ex5 流程分析 1.1 plotData 按照ex5.m中的流程走一遍python 2. 编程分析 2.0 计算公式代价函数： hθ(x)=12m∑i=1m(hθ(x(i)−y(i))2+λ2m(∑j=1nθ2j) h θ ( x ) = 1 2 m ∑ i = 1 m ( h

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1. linear regression and logistic regression
2. Linear Regression and Logistic Regression
3. linear regression and logistic regression with pytorch
4. Linear Regression and Maximum Likelihood Estimation
5. Linear Regression
6. linear regression
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