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Arkistoitu opetussuunnitelma 2015–2017
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BIO4721 Introduction to Pattern Recognition and Machine Learning 5 op
Organised by
Master's Degree Programme in Bioinformatics

Learning outcomes

After completing the course, the student can:
- describe the basic structure of pattern recognition systems and the statistical bases of the classification theory.
- distinguish supervised learning methods from the unsupervised ones. 
- apply supervised learning methods to the classifier design.


The basic structure of pattern recognition systems. Supervised and unsupervised learning. Some most important machine learning algorithms are presented and examples are described for their applications.

Modes of study

Option 1
Available for:
  • Degree Programme Students
  • Other Students
  • Open University Students
  • Doctoral Students
  • Exchange Students
Participation in course work 
In English


Numeric 1-5.

Belongs to following study modules

Archived Teaching Schedule. Please refer to current Teaching Shedule.