[{"data":1,"prerenderedAt":90},["ShallowReactive",2],{"chapter-post-machine-learning-gradient-descent":3},{"chapter":4,"entry":39,"prev":64,"next":89},{"id":5,"title":6,"body":7,"category":24,"cover":21,"date":25,"description":26,"draft":27,"extension":28,"lang":29,"meta":30,"navigation":31,"path":32,"seo":33,"slug":34,"stem":35,"tags":36,"toc":31,"updated":25,"__hash__":38},"chapters/chapters/machine-learning.md","机器学习",{"type":8,"value":9,"toc":20},"minimark",[10,14,17],[11,12,13],"p",{},"这是机器学习章节的导读页。",[11,15,16],{},"你可以先从线性回归开始，再学习梯度下降。",[18,19],"chapter-children",{},{"title":21,"searchDepth":22,"depth":22,"links":23},"",2,[],"Chapter","2026-02-14","机器学习章节索引，集中管理该主题下的子文章。",false,"md","zh-CN",{},true,"/chapters/machine-learning",{"title":6,"description":26},"machine-learning","chapters/machine-learning",[6,37],"索引","a67h8CqrwRr2cFbe64KGjhxR7xh0lxGnD2sdpnx7KP4",{"id":40,"title":41,"body":42,"category":52,"chapterSlug":34,"cover":21,"date":25,"description":53,"draft":27,"extension":28,"lang":29,"legacySlugs":54,"meta":56,"navigation":31,"order":22,"path":57,"seo":58,"slug":59,"stem":60,"tags":61,"toc":31,"updated":25,"__hash__":63},"chapterPosts/chapter-posts/machine-learning/gradient-descent.md","梯度下降基础",{"type":8,"value":43,"toc":50},[44,47],[11,45,46],{},"梯度下降是机器学习里最常见的参数优化方法之一。",[11,48,49],{},"核心思路是沿着损失函数的负梯度方向迭代更新参数。",{"title":21,"searchDepth":22,"depth":22,"links":51},[],"Machine Learning","理解损失函数、学习率与迭代更新。",[55],"ml-gradient-descent",{},"/chapter-posts/machine-learning/gradient-descent",{"title":41,"description":53},"gradient-descent","chapter-posts/machine-learning/gradient-descent",[6,62],"优化","QTnr1tR3Ijqn0eYq6Yf2atF9rpPNBLqRLfzdReOk9hM",{"id":65,"title":66,"body":67,"category":52,"chapterSlug":34,"cover":21,"date":25,"description":77,"draft":27,"extension":28,"lang":29,"legacySlugs":78,"meta":80,"navigation":31,"order":81,"path":82,"seo":83,"slug":84,"stem":85,"tags":86,"toc":31,"updated":25,"__hash__":88},"chapterPosts/chapter-posts/machine-learning/linear-regression.md","线性回归入门",{"type":8,"value":68,"toc":75},[69,72],[11,70,71],{},"线性回归用于拟合输入特征与连续目标值之间的线性关系。",[11,73,74],{},"本文会在后续补充公式推导与代码示例。",{"title":21,"searchDepth":22,"depth":22,"links":76},[],"从问题定义到最小二乘法，快速理解线性回归。",[79],"ml-linear-regression",{},1,"/chapter-posts/machine-learning/linear-regression",{"title":66,"description":77},"linear-regression","chapter-posts/machine-learning/linear-regression",[6,87],"线性回归","cqZU9Q1rmZ67tK0P3mJksdAtmQikCPvCYLjcFZPWXFk",null,1771232916060]