Basics of AI and machine learning
AI and machine learning courses:
On this online course, we will introduce some of the most widely used ML methods such as regression, classification, feature learning and clustering.
We will discuss these methods in a hands-on fashion using coding assignments which include implementations of ML methods using the programming language Python.
Responsible teacher: Alex Jung (alex.jung(at)aalto.fi)
The course is organised in Finnish! Small part of the course material in English.
Max amount of FITech students: 30
No prerequisites, but basics of Python recommended.
- Problem solving using artificial intelligence based approaches.
- Concepts of search, regression, classification and clustering types of problems.
- Difference between supervised and unsupervised learning.
The course also covers metrics to measure performance of selected methods.
During the courses the students get a good overview on several intelligent approaches which can be used to solve different types of real life tasks.
Responsible teacher: Olli Silvén (olli.silven(at)oulu.fi)
University of Oulu:
Coordinator Riku Hietaniemi (riku.hietaniemi(at)oulu.fi)
Coordinator Minna Kivihalme (minna.kivihalme(at)aalto.fi)