From 19dec973964efb438980061bded9c6beab85e454 Mon Sep 17 00:00:00 2001
From: benjas <909336740@qq.com>
Date: Mon, 9 Nov 2020 15:54:13 +0800
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---
 README.md | 21 +++++++++++++++++++++
 1 file changed, 21 insertions(+)

diff --git a/README.md b/README.md
index d2c0243..6412a39 100644
--- a/README.md
+++ b/README.md
@@ -36,6 +36,26 @@
   <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E5%BF%85%E5%A4%87%E6%95%B0%E5%AD%A6%E5%9F%BA%E7%A1%80.md#%E7%AE%80%E5%8D%95%E9%9A%8F%E6%9C%BA%E6%8A%BD%E6%A0%B7'>简单随机抽样</a>
   <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E5%BF%85%E5%A4%87%E6%95%B0%E5%AD%A6%E5%9F%BA%E7%A1%80.md#%E6%9E%81%E5%A4%A7%E4%BC%BC%E7%84%B6%E4%BC%B0%E8%AE%A1'>极大似然估计</a>
             </ul>
+        <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E5%BF%85%E5%A4%87%E6%95%B0%E5%AD%A6%E5%9F%BA%E7%A1%80.md#%E6%A6%82%E7%8E%87%E8%AE%BA%E5%9F%BA%E7%A1%80'>概率论基础</a>
+            <ul>
+                <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E5%BF%85%E5%A4%87%E6%95%B0%E5%AD%A6%E5%9F%BA%E7%A1%80.md#%E6%A6%82%E7%8E%87%E4%B8%8E%E9%A2%91%E7%8E%87'>概率与频率</a>
+                <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E5%BF%85%E5%A4%87%E6%95%B0%E5%AD%A6%E5%9F%BA%E7%A1%80.md#%E5%8F%A4%E5%85%B8%E6%A6%82%E5%9E%8B'>古典概型</a>
+                <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E5%BF%85%E5%A4%87%E6%95%B0%E5%AD%A6%E5%9F%BA%E7%A1%80.md#%E6%9D%A1%E4%BB%B6%E6%A6%82%E7%8E%87'>条件概率</a>
+                <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E5%BF%85%E5%A4%87%E6%95%B0%E5%AD%A6%E5%9F%BA%E7%A1%80.md#%E6%9D%A1%E4%BB%B6%E6%A6%82%E7%8E%87'>独立性</a>
+                <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E5%BF%85%E5%A4%87%E6%95%B0%E5%AD%A6%E5%9F%BA%E7%A1%80.md#%E6%9D%A1%E4%BB%B6%E6%A6%82%E7%8E%87'>二维随机变量</a>
+                <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E5%BF%85%E5%A4%87%E6%95%B0%E5%AD%A6%E5%9F%BA%E7%A1%80.md#%E6%9C%9F%E6%9C%9B'>期望</a>
+                <li><a hre='https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E5%BF%85%E5%A4%87%E6%95%B0%E5%AD%A6%E5%9F%BA%E7%A1%80.md#%E8%B4%9D%E5%8F%B6%E6%96%AF%E6%8B%BC%E5%86%99%E7%BA%A0%E9%94%99'>贝叶斯拼写纠错</a>
+                <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E5%BF%85%E5%A4%87%E6%95%B0%E5%AD%A6%E5%9F%BA%E7%A1%80.md#%E5%9E%83%E5%9C%BE%E9%82%AE%E4%BB%B6%E8%BF%87%E6%BB%A4'>垃圾邮件过滤</a>
+            </ul>
+            <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E5%BF%85%E5%A4%87%E6%95%B0%E5%AD%A6%E5%9F%BA%E7%A1%80.md#%E6%95%B0%E6%8D%AE%E7%A7%91%E5%AD%A6%E7%9A%84%E5%87%A0%E7%A7%8D%E5%88%86%E5%B8%83'>数据科学的几种分布</a>
+            <ul>
+                <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E5%BF%85%E5%A4%87%E6%95%B0%E5%AD%A6%E5%9F%BA%E7%A1%80.md#%E6%AD%A3%E6%80%81%E5%88%86%E5%B8%83'>正态分布</a>
+                <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E5%BF%85%E5%A4%87%E6%95%B0%E5%AD%A6%E5%9F%BA%E7%A1%80.md#%E4%BA%8C%E9%A1%B9%E5%BC%8F%E5%88%86%E5%B8%83'>二项式分布</a>
+                <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E5%BF%85%E5%A4%87%E6%95%B0%E5%AD%A6%E5%9F%BA%E7%A1%80.md#%E4%BA%8C%E9%A1%B9%E5%BC%8F%E5%88%86%E5%B8%83'>泊松分布</a>
+                <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E5%BF%85%E5%A4%87%E6%95%B0%E5%AD%A6%E5%9F%BA%E7%A1%80.md#%E5%9D%87%E5%8C%80%E5%88%86%E5%B8%83'>均匀分布</a>
+                <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E5%BF%85%E5%A4%87%E6%95%B0%E5%AD%A6%E5%9F%BA%E7%A1%80.md#%E5%8D%A1%E6%96%B9%E5%88%86%E5%B8%83'>卡方分布</a>
+                <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E5%BF%85%E5%A4%87%E6%95%B0%E5%AD%A6%E5%9F%BA%E7%A1%80.md#beta%E5%88%86%E5%B8%83'>Beta分布</a>
+                </ul>
 	</ul>
 	</li>
 <li><a>机器学习MachineLearning</a> 
@@ -45,3 +65,4 @@
 
 
 
+