Machine Learning lectures- 机器学习课程
http://blog.csdn.net/pipisorry/article/details/45010849
机器学习Machine Learning - Andrew NG 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 - II. Linear Regression with One Variable单变量线性回归 (Week 1)
Machine Learning - III. Linear Algebra Review线性代数 (Week 1, Optional)
Machine Learning - IV. Linear Regression with Multiple Variables多变量线性规划 (Week 2)
Machine Learning - V. Octave Tutorial Octave教程 (Week 2)
Machine Learning - VI. Logistic Regression逻辑规划 (Week 3)
Machine Learning - VII. Regularization规格化 (Week 3)
Machine Learning - VIII. Neural Networks Representation神经网络的表示 (Week 4)
Machine Learning - IX. Neural Networks Learning神经网络 (Week 5)
Machine Learning - X. Advice for Applying Machine Learning应用机器学习的建议 (Week 6)
Machine Learning - XI. Machine Learning System Design机器学习系统设计(Week 6)
Machine Learning - XII. Support Vector Machines支持向量机(Week 7)
Machine Learning - XIII. Clustering聚类 (Week 8)
Machine Learning - XIV. Dimensionality Reduction降维 (Week 8)
Machine Learning - XV. Anomaly Detection异常检测 (Week 9)
Machine Learning - XVI. Recommender Systems 推荐系统(Week 9)
Machine Learning - XVII. Large Scale Machine Learning大规模机器学习 (Week 10)
Machine Learning - XVIII. Application Example Photo OCR应用实例-照片OCR(Week10)
Machine Learning - Summary机器学习课程总结
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
ref:http://cs229.stanford.edu/