From f863b9008ff9e47a37ddf98aac2036de2fad36c1 Mon Sep 17 00:00:00 2001 From: chenyyx Date: Tue, 20 Jun 2017 20:34:52 +0800 Subject: [PATCH] =?UTF-8?q?=E4=BF=AE=E6=94=B92,3,4,5,9=E7=AB=A0=E7=9A=84?= =?UTF-8?q?=E4=BD=9C=E8=80=85=EF=BC=8C=E5=9B=BE=E7=89=87=E7=AD=89=E4=BF=A1?= =?UTF-8?q?=E6=81=AF?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- docs/2.k-近邻算法.md | 2 +- docs/3.决策树.md | 4 ++-- docs/4.朴素贝叶斯.md | 2 +- docs/5.Logistic回归.md | 2 +- docs/8.预测数值型数据：回归.md | 2 +- docs/9.树回归.md | 2 +- 6 files changed, 7 insertions(+), 7 deletions(-) diff --git a/docs/2.k-近邻算法.md b/docs/2.k-近邻算法.md index 277cbb33..ac4e6e9e 100644 --- a/docs/2.k-近邻算法.md +++ b/docs/2.k-近邻算法.md @@ -136,6 +136,6 @@ $$\sqrt{(0-67)^2 + (20000-32000)^2 + (1.1-0.1)^2 }$$ * * * -* **作者：[小瑶](http://www.apache.wiki/users/viewmyprofile.action)** +* **作者：[羊三](http://www.apache.wiki/display/~xuxin) [小瑶](http://www.apache.wiki/display/~chenyao)** * [GitHub地址](https://github.com/apachecn/MachineLearning): * **版权声明：欢迎转载学习 => 请标注信息来源于 [ApacheCN](http://www.apache.wiki)** diff --git a/docs/3.决策树.md b/docs/3.决策树.md index e65bbaf6..b31245d6 100644 --- a/docs/3.决策树.md +++ b/docs/3.决策树.md @@ -107,6 +107,6 @@ * ![决策树流程介绍图](/images/3.DecisionTree/决策树流程介绍图.jpg) * * * -* **作者：[小瑶](http://www.apache.wiki/users/viewmyprofile.action)** +* **作者：[片刻](http://www.apache.wiki/display/~jiangzhonglian) [小瑶](http://www.apache.wiki/display/~chenyao)** * [GitHub地址](https://github.com/apachecn/MachineLearning): -* **版权声明：欢迎转载学习 => 请标注信息来源于 [ApacheCN](http://www.apache.wiki)** \ No newline at end of file +* **版权声明：欢迎转载学习 => 请标注信息来源于 [ApacheCN](http://www.apache.wiki)** \ No newline at end of file diff --git a/docs/4.朴素贝叶斯.md b/docs/4.朴素贝叶斯.md index 1c0f22fd..4d040e81 100644 --- a/docs/4.朴素贝叶斯.md +++ b/docs/4.朴素贝叶斯.md @@ -133,7 +133,7 @@ p(ci|x,y) = p(x,y|ci)·p(ci)/p(x,y) * 可以参考一下[阮一峰的博客](http://www.ruanyifeng.com/blog/2013/12/naive_bayes_classifier.html) * * * -* **作者：[小瑶](http://www.apache.wiki/users/viewmyprofile.action)** +* **作者：[羊三](http://www.apache.wiki/display/~xuxin) [小瑶](http://www.apache.wiki/users/viewmyprofile.action)** * [GitHub地址](https://github.com/apachecn/MachineLearning): * **版权声明：欢迎转载学习 => 请标注信息来源于 [ApacheCN](http://www.apache.wiki)** diff --git a/docs/5.Logistic回归.md b/docs/5.Logistic回归.md index 586edcc5..25f5a440 100644 --- a/docs/5.Logistic回归.md +++ b/docs/5.Logistic回归.md @@ -118,6 +118,6 @@ * 5.6 高级优化 * * * -* **作者：[小瑶](http://www.apache.wiki/users/viewmyprofile.action)** +* **作者：[羊三](http://www.apache.wiki/display/~xuxin) [小瑶](http://www.apache.wiki/users/viewmyprofile.action)** * [GitHub地址](https://github.com/apachecn/MachineLearning): * **版权声明：欢迎转载学习 => 请标注信息来源于 [ApacheCN](http://www.apache.wiki)** diff --git a/docs/8.预测数值型数据：回归.md b/docs/8.预测数值型数据：回归.md index a5f63172..84e9d1b8 100644 --- a/docs/8.预测数值型数据：回归.md +++ b/docs/8.预测数值型数据：回归.md @@ -166,6 +166,6 @@ 缩减法还可以看做是对一个模型增加偏差的同时减少方差。偏差方差折中是一个重要的概念，可以帮助我们理解现有模型并做出改进，从而得到最好的模型。 * * * -* **作者：[小瑶](http://www.apache.wiki/users/viewmyprofile.action)** +* **作者：[小瑶](http://www.apache.wiki/users/viewmyprofile.action) [片刻](http://www.apache.wiki/display/~jiangzhonglian)** * [GitHub地址](https://github.com/apachecn/MachineLearning): * **版权声明：欢迎转载学习 => 请标注信息来源于 [ApacheCN](http://www.apache.wiki)** \ No newline at end of file diff --git a/docs/9.树回归.md b/docs/9.树回归.md index 4f221d7d..4198bc74 100644 --- a/docs/9.树回归.md +++ b/docs/9.树回归.md @@ -158,6 +158,6 @@ Tkinter 构造一个特殊的部件来显示 Matplotlib 绘出的图。所以，Matplotlib 和 Tkinter 的集成可以构建出更强大的 GUI ，用户可以以更自然的方式来探索机器学习算法的奥妙。 * * * -* **作者：[小瑶](http://www.apache.wiki/users/viewmyprofile.action)** +* **作者：[片刻](http://www.apache.wiki/display/~jiangzhonglian) [小瑶](http://www.apache.wiki/users/viewmyprofile.action)** * [GitHub地址](https://github.com/apachecn/MachineLearning): * **版权声明：欢迎转载学习 => 请标注信息来源于 [ApacheCN](http://www.apache.wiki)**