机器学习基础 --- 线性回归（Linear Regression）
发布时间：2024-11-15 19:01
内容简介
![\"机器学习基础](\"https://img.it610.com/image/info8/695fef56602a4ae2827e17812efa4747.jpg\")
符号说明
![\"机器学习基础](\"https://img.it610.com/image/info8/cf2aaa246618474887760b9888d54a0b.jpg\")
一、线性回归（最小二乘法及其几何意义）
1、矩阵表达下的最小二乘法![\"机器学习基础](\"https://img.it610.com/image/info8/421036dc49c44ed79490f7a6f91847a3.jpg\")
![\"机器学习基础](\"https://img.it610.com/image/info8/b910b96ea0cb4cd28a79ea200647445f.jpg\")
2、最小二乘法的几何意义
![\"机器学习基础](\"https://img.it610.com/image/info8/5b4ccde115ef47b79e7ab1034baf7590.jpg\")
![\"机器学习基础](\"https://img.it610.com/image/info8/03b0fbcf6d004d2b8dac140f0bb35027.jpg\")
![\"机器学习基础](\"https://img.it610.com/image/info8/5943896fca764d95811f875129a4df4a.jpg\")
![\"机器学习基础](\"https://img.it610.com/image/info8/d1e36e22fbc1491bb3f7dc8a4ef4c060.jpg\")
![\"机器学习基础](\"https://img.it610.com/image/info8/0681a15ec88246928ae0f8b88dad223e.jpg\")
二、线性回归（最小二乘法-概率视角-高斯噪声-MLE)
![\"机器学习基础](\"https://img.it610.com/image/info8/16b66e9313214046bad603a378ba3d0b.jpg\")
![\"机器学习基础](\"https://img.it610.com/image/info8/c9e99b14814f45f1ac02a22ca1f04f84.jpg\")
![\"机器学习基础](\"https://img.it610.com/image/info8/58cd98777df84911818a9680e4ef6836.jpg\")
三、线性回归（正则化-岭回归）
![\"机器学习基础](\"https://img.it610.com/image/info8/b2f4c957b90944b9882f1ca6d1682862.jpg\")
![\"机器学习基础](\"https://img.it610.com/image/info8/3b36e99100bf4d368da05619c44acf28.jpg\")
四、线性回归（正则化-岭回归-贝叶斯角度-高斯噪声高斯先验-MAP）
![\"机器学习基础](\"https://img.it610.com/image/info8/625fd622820245b6b649163b77eff520.jpg\")
![\"机器学习基础](\"https://img.it610.com/image/info8/39a06ade2b2a4fac91dc356f77499465.jpg\")
![\"机器学习基础](\"https://img.it610.com/image/info8/dac3d570645c42219c33d45cdb0ae4ba.jpg\")
五、总结
![\"机器学习基础](\"https://img.it610.com/image/info8/43a41ee49c8149beb46318d92ca7eba4.jpg\")
最后
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