Implementations from a graduate course in Machine Learning at Linköping University during the spring of 2013. The chapter references are to "Pattern Recognition and Machine Learning" written by Bishop and published in 2006.
The repository contains the following example codes:
- Bayesian LS (Ch 2) using conjugate priors [bayesianLScp.m]
- Clustering using k-means and EM (2 and 3 groups in 2D) (Ch 9) [clusteringEMnKmeans.m]
- Gaussian Process Regression in 1D with user-defined parameters [gp_regression.m]
- Neural Networks for regression from Hastie, Tibshirani and Friedman (2009) [NeuralN_regression.m,regNN.m,NNdataset100obs.mat,NNdataset1000obs.mat]
- LS and Nearest neighbor for classifying hand written digits (Ch 3) [zipcodeLS.m,zipcodeNearestN.m]
- Variational inference for Bayesian LS (Ch 10) [bayesianLSvb.m]