llhthinker / Stanford-MachineLearning-exercises

Machine Learning on Coursera: https://www.coursera.org/learn/machine-learning

Stanford-ML-exercises

Machine Learning on Coursera: https://www.coursera.org/learn/machine-learning

Exercise 1: Linear Regression

Blog: Linear Regression: http://www.cnblogs.com/llhthinker/p/5248586.html

Exercise 2: Logistic Regression

Blog: Logistic Regression: http://www.cnblogs.com/llhthinker/p/5330257.html

Exercise 3: Multi-class Classification and Neural Networks

Exercise 4: Neural Networks Learning

Blogs: 神经网络Neural Networks (part one): http://www.cnblogs.com/llhthinker/p/5355987.html

神经网络Neural Networks (part two): http://www.cnblogs.com/llhthinker/p/5356174.html

Exercise 5: Regularized Linear Regression and Bias v.s.Variance

Blog: Bayesian statistics and Regularization: http://www.cnblogs.com/llhthinker/p/5351201.html

Exercise 6: Support Vector Machines

Blog: 支持向量机(SVMs)概述: http://www.cnblogs.com/llhthinker/p/5415046.html

Exercise 7: K-means Clustering and Principal Component Analysis

Blogs: 聚类(Clustering): http://www.cnblogs.com/llhthinker/p/5494321.html

降维(Dimensionality Reduction) http://www.cnblogs.com/llhthinker/p/5522054.html

Exercise 8: Anomaly Detection and Recommender Systems