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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. 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).

More information in Tampere University’s study guide.

You can get a digital badge after completing this course.

koneoppiminen, algoritmit, datalouhinta, tiedonlouhinta

Further information about the studies

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

Responsible teacher

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

Contact person for applications

FITech
Monica Sandberg , Study services designer
monica.sandberg(at)fitech.io
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:
8.3.–31.5.2021
Application deadline:
Application period has ended
Host university:
Tampere University
Study is open for:
Adult learner,
Degree student
Teaching methods:
Online
Language:
English
General prerequisites:
Data structures or equivalent studies and basic mathematics required.
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