Machine Learning lectures- 机器学习课程

ゞ浴缸里的玫瑰 2022-08-07 13:36 236阅读 0赞

http://[blog.csdn.net/pipisorry/article/details/45010849][blog.csdn.net_pipisorry_article_details_45010849]

机器学习Machine Learning - Andrew NG [ courses][courses]学习笔记

**Machine Learning lectures - 机器学习课程**

[Machine Learning - I. Introduction机器学习综述 (Week 1)][Machine Learning - I. Introduction_ _Week 1][  
][Link 1]

[Machine Learning - II. Linear Regression with One Variable单变量线性回归 (Week 1)][Link 1][  
][Link 2]

[Machine Learning - III. Linear Algebra Review线性代数 (Week 1, Optional)][Link 2][  
][Link 3]

[Machine Learning - IV. Linear Regression with Multiple Variables多变量线性规划 (Week 2)][Link 3][  
][Link 4]

[Machine Learning - V. Octave Tutorial Octave教程 (Week 2)][Link 4][  
][Link 5]

[Machine Learning - VI. Logistic Regression逻辑规划 (Week 3)][Link 5][  
][Link 6]

[Machine Learning - VII. Regularization规格化 (Week 3)][Link 6][  
][Link 7]

[Machine Learning - VIII. Neural Networks Representation神经网络的表示 (Week 4)][Link 7][  
][Link 8]

[Machine Learning - IX. Neural Networks Learning神经网络 (Week 5)][Link 8][  
][Link 9]

[Machine Learning - X. Advice for Applying Machine Learning应用机器学习的建议 (Week 6)][Link 9][  
][Link 10]

[Machine Learning - XI. Machine Learning System Design机器学习系统设计(Week 6)][Link 10][  
][Link 11]

[Machine Learning - XII. Support Vector Machines支持向量机(Week 7)][Link 11][  
][Link 12]

[Machine Learning - XIII. Clustering聚类 (Week 8)][Link 12][  
][Link 13]

[Machine Learning - XIV. Dimensionality Reduction降维 (Week 8)][Link 13][  
][Link 14]

[Machine Learning - XV. Anomaly Detection异常检测 (Week 9)][Link 14][  
][Link 15]

[Machine Learning - XVI. Recommender Systems 推荐系统(Week 9)][Link 15][  
][Link 16]

[Machine Learning - XVII. Large Scale Machine Learning大规模机器学习 (Week 10)][Link 16][  
][Link 17]

[Machine Learning - XVIII. Application Example Photo OCR应用实例-照片OCR(Week10)][Link 17]

**Machine Learning - Summary机器学习课程总结**

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ps:机器学习课程博客完成^-^ !欢迎提问和评论！

from:[http://blog.csdn.net/pipisorry/article/details/45010849][blog.csdn.net_pipisorry_article_details_45010849]

ref:http://cs229.stanford.edu/

[blog.csdn.net_pipisorry_article_details_45010849]: http://blog.csdn.net/pipisorry/article/details/45010849
[courses]: https://class.coursera.org/ml-008/lecture
[Machine Learning - I. Introduction_ _Week 1]: http://blog.csdn.net/pipisorry/article/details/43089121
[Link 1]: http://blog.csdn.net/pipisorry/article/details/43115525
[Link 2]: http://blog.csdn.net/pipisorry/article/details/43490965
[Link 3]: http://blog.csdn.net/pipisorry/article/details/43529845
[Link 4]: http://blog.csdn.net/pipisorry/article/details/43565653
[Link 5]: http://blog.csdn.net/pipisorry/article/details/43884027
[Link 6]: http://blog.csdn.net/pipisorry/article/details/43966361
[Link 7]: http://blog.csdn.net/pipisorry/article/details/43973567
[Link 8]: http://blog.csdn.net/pipisorry/article/details/44119187
[Link 9]: http://blog.csdn.net/pipisorry/article/details/44245347
[Link 10]: http://blog.csdn.net/pipisorry/article/details/44245513
[Link 11]: http://blog.csdn.net/pipisorry/article/details/44522881
[Link 12]: http://blog.csdn.net/pipisorry/article/details/44677097
[Link 13]: http://blog.csdn.net/pipisorry/article/details/44705051
[Link 14]: http://blog.csdn.net/pipisorry/article/details/44783647
[Link 15]: http://blog.csdn.net/pipisorry/article/details/44850971
[Link 16]: http://blog.csdn.net/pipisorry/article/details/44904649
[Link 17]: http://blog.csdn.net/pipisorry/article/details/44999703
[Center]: /images/20220805/49b4e660570f4e299bda013820254fdb.png