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| <div id='write' class = 'is-node'><h1><a name='header-n0' class='md-header-anchor '></a>吴恩达(Andrew Ng)机器学习公开课中文笔记</h1><p style="white-space: normal;"><a href='https://github.com/scruel/ML-AndrewNg-Notes'><img src="https://img.shields.io/github/stars/scruel/ML-AndrewNg-Notes?logo=github&label=Stars" referrerpolicy="no-referrer" alt="github"></a> | |||
| <a href='https://gitee.com/scruel/ML-AndrewNg-Notes'><img src="https://img.shields.io/badge/dynamic/json?label=Stars&query=%24.stargazers_count&url=https%3A%2F%2Fgitee.com%2Fapi%2Fv5%2Frepos%2Fscruel%2FML-AndrewNg-Notes&logo=gitee" referrerpolicy="no-referrer" alt="star"></a></p><p><span>💌 Sponsor the project: </span><a href='https://afdian.net/@scruel' target='_blank' class='url'>https://afdian.net/@scruel</a></p><p><a href='https://github.com/scruel/ML-AndrewNg-Notes/'>GitHub 项目首页</a> | <a href='https://zhuanlan.zhihu.com/p/32781741'>知乎文章</a></p><p> </p><p><a href='./week1.html'>week1</a></p><ol start='' ><li>引言(Introduction)</li><li>单变量线性回归(Linear Regression with One Variable)</li></ol><p><a href='./week2.html'>week2</a></p><ol start='3' ><li>线性代数回顾(Linear Algebra Review)</li><li>多变量线性回归(Linear Regression with Multiple Variables)</li><li>Octave/Matlab 指南(Octave/Matlab Tutorial)</li></ol><p><a href='./week3.html'>week3</a></p><ol start='6' ><li>逻辑回归(Logistic Regression)</li><li>正则化(Regularization)</li></ol><p><a href='./week4.html'>week4</a></p><ol start='8' ><li>神经网络：表达(Neural Networks: Representation)</li></ol><p><a href='./week5.html'>week5</a></p><ol start='9' ><li>神经网络：学习(Neural Networks: Learning)</li></ol><p><a href='./week6.html'>week6</a></p><ol start='10' ><li>机器学习应用的建议(Advice for Applying Machine Learning)</li><li>机器学习系统设计(Machine Learning System Design)</li></ol><p><a href='./week7.html'>week7</a></p><ol start='12' ><li>支持向量机(Support Vector Machines)</li></ol><p><a href='./week8.html'>week8</a></p><ol start='13' ><li>无监督学习(Unsupervised Learning)</li><li>降维(Dimensionality Reduction)</li></ol><p><a href='./week9.html'>week9</a></p><ol start='15' ><li>异常检测(Anomaly Detection)</li><li>推荐系统(Recommender Systems)</li></ol><p><a href='./week10.html'>week10</a></p><ol start='17' ><li>大规模机器学习(Large Scale Machine Learning)</li></ol><p><a href='./week11.html'>week11</a></p><ol start='18' ><li>实战：图像光学识别(Application Example: Photo OCR)</li></ol><p> </p><p> </p><h2><a name='header-n66' class='md-header-anchor '></a>License</h2><p><img src='https://i.creativecommons.org/l/by-nc/4.0/88x31.png' alt='Creative Commons License' referrerPolicy='no-referrer' /></p><p>This work is licensed under a [Creative Commons Attribution-NonCommercial 4.0 International License][CC BY-NC 4.0].</p><p>Copyright © Scruel. All Rights Reserved.</p><p><strong>注：转载请注明出处，禁止用于任何商业用途（包括广告形式）</strong></p><p> </p><div style="display:none"> | |||
| <a href='https://gitee.com/scruel/ML-AndrewNg-Notes'><img src="https://img.shields.io/badge/dynamic/json?label=Stars&query=%24.stargazers_count&url=https%3A%2F%2Fgitee.com%2Fapi%2Fv5%2Frepos%2Fscruel%2FML-AndrewNg-Notes&logo=gitee" referrerpolicy="no-referrer" alt="star"></a></p><p><span>💌 Sponsor the project: </span><a href='https://afdian.net/@scruel' target='_blank' class='url'>https://afdian.net/@scruel</a></p><p><a href='https://github.com/scruel/ML-AndrewNg-Notes/'>GitHub 项目首页</a> | <a href='https://zhuanlan.zhihu.com/p/32781741'>知乎文章</a></p><p> </p><p><a href='./week1.html'>week1</a></p><ol start='' ><li>引言(Introduction)</li><li>单变量线性回归(Linear Regression with One Variable)</li></ol><p><a href='./week2.html'>week2</a></p><ol start='3' ><li>线性代数回顾(Linear Algebra Review)</li><li>多变量线性回归(Linear Regression with Multiple Variables)</li><li>Octave/Matlab 指南(Octave/Matlab Tutorial)</li></ol><p><a href='./week3.html'>week3</a></p><ol start='6' ><li>逻辑回归(Logistic Regression)</li><li>正则化(Regularization)</li></ol><p><a href='./week4.html'>week4</a></p><ol start='8' ><li>神经网络：表达(Neural Networks: Representation)</li></ol><p><a href='./week5.html'>week5</a></p><ol start='9' ><li>神经网络：学习(Neural Networks: Learning)</li></ol><p><a href='./week6.html'>week6</a></p><ol start='10' ><li>机器学习应用的建议(Advice for Applying Machine Learning)</li><li>机器学习系统设计(Machine Learning System Design)</li></ol><p><a href='./week7.html'>week7</a></p><ol start='12' ><li>支持向量机(Support Vector Machines)</li></ol><p><a href='./week8.html'>week8</a></p><ol start='13' ><li>无监督学习(Unsupervised Learning)</li><li>降维(Dimensionality Reduction)</li></ol><p><a href='./week9.html'>week9</a></p><ol start='15' ><li>异常检测(Anomaly Detection)</li><li>推荐系统(Recommender Systems)</li></ol><p><a href='./week10.html'>week10</a></p><ol start='17' ><li>大规模机器学习(Large Scale Machine Learning)</li></ol><p><a href='./week11.html'>week11</a></p><ol start='18' ><li>实战：图像光学识别(Application Example: Photo OCR)</li></ol><p> </p><p> </p><h2><a name='header-n66' class='md-header-anchor '></a>License</h2><p><a href='http://creativecommons.org/licenses/by-nc/4.0/' target='_blank'><img src="https://i.creativecommons.org/l/by-nc/4.0/88x31.png" referrerpolicy="no-referrer" alt="Creative Commons License"></a></p><p><span>This work is licensed under a </span><a href='http://creativecommons.org/licenses/by-nc/4.0/' target='_blank'><span>Creative Commons Attribution-NonCommercial 4.0 International License</span></a><span>.</span></p><p><span>Copyright © Scruel. All Rights Reserved.</span></p><p> </p><p><span>本人所作的所有笔记内容</span><strong><span>禁止任何商业形式（包括广告形式）的转载</span></strong><span>，非商业形式的转载</span><strong><span>请先联系我授权</span></strong><span>，在承诺不会用于商业用途后方可使用，且需声明转载地址（GitHub）。 </span></p><p> </p><div style="display:none"> | |||
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