SML

Statistical machine learning programs using R/Python which I learned in the lectures.
Only displays representative ones.

Contents

• Bayesian
• Machine learning
• Non-parametric
• Normal distribution
• Regression
• Optimization

Bayesian

• Bayesian regression, Variational estimate
  

Machine learning

• Linear discriminant for handwriting
• Fishere's linear discriminant analysis

• Maximum likelihood estimation
• Projection pursuit

• Gaussian SVM

Non-parametric

• KDE

• kNN

Normal distribution

• Bayesian update with unknown variance
• Bayesian update with mean

• KL-divergence

Regression

• Linear regression
• Ridge regression,Polynomial regression and cross validation
  

Optimization

• Backtracking, Barrier method, Penalty method