Machine learning: Basic principles
Max amount of FITech students: 40
Persons without a valid study right to a Finnish university have preference to this course.
The course deals with basic principles needed to understand and apply machine learning models and methods. The topics include supervised and unsupervised learning, Bayesian decision theory, parametric methods, tuning model complexity, dimensionality reduction, clustering, nonparametric methods, decision trees, comparing and combining algorithms, as well as a few applications of these methods.
After the course, the student is able to apply the basic machine learning methods to data and to understand new models based on these principles.
More information on Aalto University’s WebOodi page.
You can get a digital badge after completing this course.
Further information about the studies
Contact person for applications