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ml-examples

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.

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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]