OlaPietka / Applied-Machine-Learning

Implementation of various of algorithms such as EM for Topic Modeling, High Dim. Classification, PCA, etc. described in "Applied Machine Learning" by David Forsyth

Applied-Machine-Learning

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

Image segmentation using EM

What can you expect

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

Some results

Mean Field

What can you expect

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

Some results

EM for Topic Models

What can you expect

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

Some results

Clusters

What can you expect

Agglomerative clustering and k-means clustering

Some results

High Dimensional Classification

What can you expect

Classification of high dim. data with vector quantization

Some results

Regression

What can you expect

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

Some results

PCA

What can you expect

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

Some results