What is this?
This is a series of course projects for Machine Learning at UNM. For the topics, please refer to the following table.
| Topic | Keywords |
|---|---|
| Kernel Tricks for Regrssion Problems | Kernel Methods, Ridge Regression, Support Vector Machine, Classification |
| Support Vector Machine for Classification and Regression | SVM, Structural risk, Classification, Regression |
| Hidden Markov Models | Hidden Markov Model, Markov Model, Latent Variable, Markov Process |
| Latent Linear Models: PCA and ICA | Latent Linear Model, PCA, PPCA, ICA, FastICA, EM, Factor Analysis |
| Clustering with Gaussian Mixture Models and K-Means | EM, Gaussian Mixture Models, K-means |