Anita Faul's repositories
Clustering-Python
This repository contains Jupyter Notebooks illustrating various clustering techniques, culminating in the Dirichlet Process Method. For more theoretical background see ClusteringSlides.pdf or consult https://www.amazon.com/gp/product/0815384106/ref=dbs_a_def_rwt_bibl_vppi_i0
LectureSlides
Lecture slides to accompany "A Concise Introduction to Machine Learning"
Neural-Networks-Python
This repository contains Python scripts illustrating neural networks.
Non-Linear-Classification-Matlab
This repository contains Matlab scripts illustrating various non-linear classification techniques including the kernel trick, k-nearest neighbours, trees and neural networks. For more theoretical background see Non-LinearClassificationSlides.pdf or buy https://www.amazon.com/gp/product/0815384106/ref=dbs_a_def_rwt_bibl_vppi_i0
Regression-Matlab
This repository contains Matlab scripts illustrating various sampling techniques like Gaussian Processes. For more theoretical background see RegressionSlides.pdf or buy https://www.amazon.com/gp/product/0815384106/ref=dbs_a_def_rwt_bibl_vppi_i0
ceda-notebooks
Jupyter Notebooks demonstrating CEDA data and tools
Clustering-Matlab
This repository contains Matlab scripts illustrating various clustering techniques, culminating in the Dirichlet Process Method. For more theoretical background see ClusteringSlides.pdf or buy https://www.amazon.com/gp/product/0815384106/ref=dbs_a_def_rwt_bibl_vppi_i0
Linear-Classification-Matlab
This repository contains Matlab scripts illustrating various linear classification techniques including the Support Vector Machine. For more theoretical background see LinearClassificationSlides.pdf or buy https://www.amazon.com/gp/product/0815384106/ref=dbs_a_def_rwt_bibl_vppi_i0
Neural-Networks-Matlab
This repository contains Matlab scripts illustrating neural networks. For more theoretical background see FeatureLearningSlides.pdf or buy https://www.amazon.com/gp/product/0815384106/ref=dbs_a_def_rwt_bibl_vppi_i0
Sampling-Matlab
This repository contains Matlab scripts illustrating various sampling techniques like the Box-Muller transformation and the Metropolis algorithm. For more theoretical background see SamplingSlides.pdf or buy https://www.amazon.com/gp/product/0815384106/ref=dbs_a_def_rwt_bibl_vppi_i0