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Machine learning algorithms

Individual course

Some most important machine learning algorithms are presented and examples are described for their applications.

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.

Course requirements:

Written examination and active participation in exercises and lectures.

Matlab is used for exercises. Do this quickly (if not yet done):

To load Matlab you first need an activation code and obtaining this may take time. (You also need a TAU student account.) You can do this by clicking here.

More information in Tampere University’s study guide.

Further information about the studies

Tampere University
Teemu Rauhala
teemu.rauhala(at)tuni.fi

Responsible teacher

Martti Juhola
Martti Juhola
martti.juhola(at)tuni.fi

Contact person for applications

FITech
Pilvi Lempiäinen , Service designer
pilvi.lempiainen(at)fitech.io
Start the application process
Start the application process
Category:
ICT Studies
Topic:
AI and machine learning
Course code:
TIETS39
Credits:
5 ECTS
Teaching period:
2.3.–20.5.2020
Application deadline:
24.2.2020
Host university:
Tampere University
Study is open for:
Adult learner,
Degree student
Level of studies:
Advanced
Teaching methods:
Contact
Place of contact learning:
Tampere
Language:
English
General prerequisites:
Data structures or equivalent studies and basic mathematics required.