October 2018
Beginner to intermediate
238 pages
6h 32m
Chinese
Content preview from 面向数据科学家的实用统计学
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分类
｜
145
Degrees of Freedom: 45341 Total (i.e. Null); 45330 Residual
Null Deviance: 62860
Residual Deviance: 57510 AIC: 57540
其中，outcome 是响应变量，在还清贷款时值为
0
，在欠贷时值为
1
。purpose_ 和 home_ 是
分别表示贷款目的和房屋产权状态的因子变量。在回归中，具有
P
个层级的因子变量可以
用
P
-
1
个列表示。在
R
中，默认使用了
参考
编码，即将所有的层与参考层做对比（参见
4.4
节）。上述因子的参考层分别是 credit_card 和 MORTGAGE。变量 borrower_score 是一个
位于
[0, 1]
区间的分值，表示了借款者的信誉度范围从“差”到“优秀”。该变量是使用
K
最近邻方法从其他几个变量中创建的，具体方法参见
6.1.6
节。
5.3.3
广义线性模型
除了回归之外，另一类重要的模型是
广义线性模型
。广义线性模型的特征主要体现在下面
两个方面。
•
一个概率分布或家族。例如，对于逻辑回归，它是二项分布。
•
一个将响应映射到预测因子的
连接函数
（
link function
）。例如，对于逻辑回归，它是
Logit
函数。
到目前为止，广义线性模型最常见的形式是逻辑回归。数据科学家还会看到其他类型的广
义线性模型。有时，我们会发现连接函数使用的是对数函数，而非
Logit
函数。在实践中，
对于大多数应用而言，使用对数连接函数基本不会对结果造成很大的差异。泊松分布常用 ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.