李航机器学习课件

[{"title":"（ 12 个子文件 15.2MB ） 李航机器学习课件","children":[{"title":"【课件】统计学习方法 李航","children":[{"title":"第七章 支持向量机.pdf <span style='color:#111;'> 3.30MB </span>","children":null,"spread":false},{"title":"第四章 朴素贝叶斯法.pdf <span style='color:#111;'> 1.05MB </span>","children":null,"spread":false},{"title":"第十二章 统计学习方法总结.pdf <span style='color:#111;'> 928.37KB </span>","children":null,"spread":false},{"title":"第十章 隐马尔科夫模型.pdf <span style='color:#111;'> 1.96MB </span>","children":null,"spread":false},{"title":"第八章 提升方法.pdf <span style='color:#111;'> 2.12MB </span>","children":null,"spread":false},{"title":"第五章 决策树-2016-ID3CART.pdf <span style='color:#111;'> 2.04MB </span>","children":null,"spread":false},{"title":"第三章 k 近邻法.pdf <span style='color:#111;'> 1.49MB </span>","children":null,"spread":false},{"title":"第二章 感知机.pdf <span style='color:#111;'> 1.63MB </span>","children":null,"spread":false},{"title":"第十一章 条件随机场.pdf <span style='color:#111;'> 2.64MB </span>","children":null,"spread":false},{"title":"第六章 Logistic回归.pdf <span style='color:#111;'> 2.08MB </span>","children":null,"spread":false},{"title":"第一章 统计学习方法概论.pdf <span style='color:#111;'> 1.19MB </span>","children":null,"spread":false},{"title":"第九章 EM算法及其推广.pdf <span style='color:#111;'> 1.91MB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]