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Machine learning algorithms

Individual course

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.

koneoppiminen, algoritmit, datalouhinta, tiedonlouhinta

Responsible teacher

Martti Juhola
Martti Juhola

Further information about the studies

Tampere University
Teemu Rauhala, ICT coordinator

Contact person for applications

FITech Network University
Monica Sandberg, Student services specialist
Start here
Start here
Category:
ICT Studies
Topic:
AI and machine learning
Course code:
DATA.ML.210
Credits:
5 ECTS
Price:
0 €
Level:
Teaching period:
7.3.–30.6.2022
Application deadline:
27.2.2022
Host university:
Tampere University
Study is open for:
Adult learner,
Degree student
Teaching methods:
Contact
Place of contact learning:
Tampere
Language:
English
General prerequisites:
Data structures or equivalent studies and basic mathematics required.
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