Machine Learning, 4 credits

Course information

The course covers the following topics in machine learning:

Supervised and unsupervised algorithms for classification, prediction and clustering
Manual and automatic feature design
Dimensionality reduction techniques and feature selection
Practical recommendations for applying machine learning algorithms
Training and classification of neural networks
Bayesian learning and recommender systems.