Machine Learning, 4 credits
Course information
Research education subject
- Computer Science
Course Syllabus
Contacts
-
Franziska Klügl, Professor
+46 19 303925 franziska.klugl@oru.se -
Josefin Unander-Scharin, Utbildnings- och forskningsadministratör
+46 19 303909 josefin.unander-scharin@oru.se
Course content
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.