w6_2Regularized Linear Regression and BiasVariance编程解析
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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相关文章
- 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
- 7. linear-regression
- 8. Linear regression
- 9. simple linear regression详解
- 10. Day2--Simple Linear Regression