Max amount of FITech students: 10
During this course, some of the most important machine learning algorithms are presented and examples for their applications are described.
After the course, the student is able to understand and use some basic and advanced machine learning methods for data mining, pattern recognition and other problems to that learning-based solutions are applied.
Matlab is used for the exercises. To load Matlab, you first need an activation code and obtaining this may take time. (You also need a TAU account.) You can do this by clicking here (if no more valid, search for from IT services of TAU).
Completion methods
Written examination and active participation in exercises and lectures.
More information in the Tampere University study guide.
You can get a digital badge after completing this course.