The original version of mlkid is here: https://github.com/jiangfeng1124/mlkid, I'm just the '跟屁虫' XD .

Seriously, I enjoy the moment of convergence and illustrating machine learning algorithm. However the codes here, they are not design to play on large-scale data, in another word, they are just some kind of toys.

But it's fun :D

Following components has been implemented:

• 2012-07-22 A Max-entropy classifier
• 2012-10-8 Use EM algorithm to estimate parameters of Gaussian Mixture Model
• 2012-10-12 Use parzen window to estimate probability distribution
• 2012-10-14 Use KNN to estimate probability distribution and classify handwritten data
• 2012-10-17 Use K-Means algorithm to classify data drawn from two gaussian
• 2012-10-18 A SVM classifier optimized with simplified SMO and its illustraction on 2-Dimension data
• 2012-10-29 A Logistic Regression classifier optimized with newton-raphson algorithm
• 2012-11-01 A Gibbs Sampling LDA
• 2012-11-28 A PCA in textbook
• 2012-12-12 Use Neural Network solve NER