机器学习笔记目录

Love The Way You Lie 2022-10-29 11:18 247阅读 0赞

<table> 
 <tbody> 
  <tr> 
   <th colspan="3">机器学习笔记目录</th> 
  </tr> 
  <tr> 
   <th>Week</th> 
   <th>知识点</th> 
   <th>编程练习</th> 
  </tr> 
  <tr> 
   <td>1</td> 
   <td><a href="https://blog.csdn.net/keiven_/article/details/111932604" rel="nofollow">引言、单变量线性回归、线性代数回顾</a></td> 
   <td>\</td> 
  </tr> 
  <tr> 
   <td>2</td> 
   <td><a href="https://blog.csdn.net/keiven_/article/details/112132038" rel="nofollow">多变量线性回归、Octave教程</a></td> 
   <td>Linear regression</td> 
  </tr> 
  <tr> 
   <td>3</td> 
   <td><a href="https://blog.csdn.net/keiven_/article/details/112172033" rel="nofollow">逻辑回归、正则化</a></td> 
   <td>Logistic regression &amp; Normalization</td> 
  </tr> 
  <tr> 
   <td>4</td> 
   <td><a href="https://blog.csdn.net/keiven_/article/details/112188037" rel="nofollow">神经网络</a></td> 
   <td>Multi-Classification &amp; Neural network</td> 
  </tr> 
  <tr> 
   <td>5</td> 
   <td><a href="https://blog.csdn.net/keiven_/article/details/112203088" rel="nofollow">神经网络的学习</a></td> 
   <td>Backpropagation &amp; Neural network</td> 
  </tr> 
  <tr> 
   <td>6</td> 
   <td><a href="https://blog.csdn.net/keiven_/article/details/112802852" rel="nofollow">应用机器学习的建议、机器学习系统的设计</a></td> 
   <td>Bais &amp; Variance</td> 
  </tr> 
  <tr> 
   <td>7</td> 
   <td><a href="https://blog.csdn.net/keiven_/article/details/113736923" rel="nofollow">支持向量机</a></td> 
   <td>SVM</td> 
  </tr> 
  <tr> 
   <td>8</td> 
   <td><a href="https://blog.csdn.net/keiven_/article/details/113783960" rel="nofollow">聚类、降维</a></td> 
   <td>Kmeans &amp; PCA</td> 
  </tr> 
  <tr> 
   <td>9</td> 
   <td><a href="https://blog.csdn.net/keiven_/article/details/113788270" rel="nofollow">异常检测、推荐系统</a></td> 
   <td>Anomaly detection &amp; Recommender system</td> 
  </tr> 
  <tr> 
   <td>10</td> 
   <td><a href="https://blog.csdn.net/keiven_/article/details/113792259" rel="nofollow">大规模机器学习、应用实例：图片文字识别</a></td> 
   <td>\</td> 
  </tr> 
  <tr> 
   <td colspan="3"><a href="https://github.com/xfliu1998/Machine-Learning" rel="nofollow">吴恩达机器学习系列课程编程作业github网址</a></td> 
  </tr> 
 </tbody> 
</table>

**机器学习参考资料：**

> [吴恩达《机器学习》][Link 1]  
> [吴恩达老师的机器学习课程个人笔记][Link 2]

[Link 1]: https://www.kesci.com/home/column/5dd7524c83b6ff002c786fff
[Link 2]: https://github.com/fengdu78/Coursera-ML-AndrewNg-Notes