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