4.2 The Regression Equation Because we could draw many different lines through the cluster of data points, we need a method to choose the “best” line. The method, called the least-squares criterion, is based on an analysis of the errors made in using…
Regularized Linear Regression with scikit-learn Earlier we covered Ordinary Least Squares regression. In this posting we will build upon this foundation and introduce an important extension to linear regression, regularization, that makes it applicab…
博客内容取材于:http://www.cnblogs.com/tornadomeet/archive/2012/06/24/2560261.html Deep learning:六(regularized logistic回归练习) Deep learning:五(regularized线性回归练习) Deep learning:四(logistic regression练习) Deep learning:三(Multivariance Linear Regression练习) Deep lea…
源码:https://github.com/cheesezhe/Coursera-Machine-Learning-Exercise/tree/master/ex5 Introduction: In this exercise, you will implement regularized linear regression and use it to study models with different bias-variance properties. 1. Regularized Lin…
文章内容均来自斯坦福大学的Andrew Ng教授讲解的Machine Learning课程,本文是针对该课程的个人学习笔记,如有疏漏,请以原课程所讲述内容为准.感谢博主Rachel Zhang的个人笔记,为我做个人学习笔记提供了很好的参考和榜样. § 1. 单变量线性回归 Linear Regression with One Variable 1. 代价函数Cost Function 在单变量线性回归中,已知有一个训练集有一些关于$x$.$y$的数据(如×所示),当我们的预测值$h(x)$…
摘要: 本文是吴恩达 (Andrew Ng)老师<机器学习>课程,第二章<单变量线性回归>中第6课时<模型概述>的视频原文字幕.为本人在视频学习过程中逐字逐句记录下来以便日后查阅使用.现分享给大家.如有错误,欢迎大家批评指正,在此表示诚挚地感谢!同时希望对大家的学习能有所帮助. Our first learning algorithm will be linear regression. In this video (article), you'll see what…
Linear Regression with One Variable Model Representation Recall that in *regression problems*, we are taking input variables and trying to map the output onto a *continuous* expected result function. Linear regression with one variable is also known…
