共 80 条公开笔记
贝叶斯统计推断
优势比与似然比
什么是贝叶斯方法？
本章小结
内曼—皮尔逊引理
过于看重统计显著性所带来的危害
概率论的应用
我们为什么要对零假设进行正式检验？
统计显著性
什么是“假设”？
人工智能
算法所面临的各种弊病
一些更复杂的算法
回归模型
过拟合
如何综合评估概率的“准确性”
如何评估算法的表现
分类树
分类和预测
寻找规律
各种不同的回归模型
各种不同类型的响应变量
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