机器学习SVM学习线路及资料

[{"title":"（ 11 个子文件 11.39MB ） 机器学习SVM学习线路及资料","children":[{"title":"SVM","children":[{"title":"机器学习中的损失函数以及等价关系.pdf <span style='color:#111;'> 1.09MB </span>","children":null,"spread":false},{"title":"机器学习算法与Python实践——支持向量机（SVM）.pdf <span style='color:#111;'> 2.05MB </span>","children":null,"spread":false},{"title":"SMO算法(比较好的讲解).pdf <span style='color:#111;'> 1.12MB </span>","children":null,"spread":false},{"title":"SVM全系列.pdf <span style='color:#111;'> 1.31MB </span>","children":null,"spread":false},{"title":"从损失函数看SVM.pdf <span style='color:#111;'> 863.20KB </span>","children":null,"spread":false},{"title":"学习阅读说明.txt <span style='color:#111;'> 571B </span>","children":null,"spread":false},{"title":"Platt大牛的SMO算法.pdf <span style='color:#111;'> 88.02KB </span>","children":null,"spread":false},{"title":"支持向量机通俗导论（理解SVM的三层境界）带完整书签版本.pdf <span style='color:#111;'> 2.89MB </span>","children":null,"spread":false},{"title":"通俗讲解拉格朗日对偶问题——知乎.pdf <span style='color:#111;'> 6.48MB </span>","children":null,"spread":false},{"title":"testSet.txt <span style='color:#111;'> 2.16KB </span>","children":null,"spread":false},{"title":"1.svg <span style='color:#111;'> 4.66KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]