A machine learning library for tutorial
A machine learning library for tutorial
Gaussian Mixture Model, with parameters learned by EM algotithm.
BernouliRBM model traning with Contrasitive Divergense
Latent Factor Model. Gradient descent method are applied to trained the model. I test it on the movielens 100k dataset(download from here)
A demo showing how to use Variational Bayes to learn the posterior distribution of univariate Gaussian’s parameters
[1] Murphy, K. P. (2013), Machine learning : a probabilistic perspective , MIT Press .