Implementation of various of algorithms described in "Applied Machine Learning" by David Forsyth

Rather than using a package, I implemented the EM algorithm by myself and displayed the results for some images

Mean Field Inference for denoising binary images with Boltzmann Machines on MNIST data

Implementation of the Topic Model EM algorithm and vizualisation of topic frequencies

Agglomerative clustering and k-means clustering

Classification of high dim. data with vector quantization

Building of linear regression and ploting the residuals for 3 different problems

Implementation of Principal Component Analysis and using Principal Coordinate Analysis to make a 2D map of the means