Curricula Guides 2018–2019
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Archived Curricula Guide 2017–2019
Curricula Guide is archieved. Please refer to current Curricula Guides
BIO4722 SGN-41007 Pattern Recognition and Machine Learning 5 ECTS
Organised by
Master's Degree Programme in Bioinformatics

General description

Course organized by TUT, see TUT study guide for up-to-date information.

Learning outcomes

Students understand principles of selected statistical, pattern recognition and machine learning approaches in signal processing related problems. Student can apply the methods to real problems using modern Python tools such as Scikit-Learn and Keras.

Contents

Learning processes, learning machines with a teacher, learning machines without a teacher. The examined methods are discussed in the context of application examples.

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

Evaluation

Numeric 1-5.

Belongs to following study modules

Faculty of Medicine and Life Sciences
Methodology studies
2018–2019
Teaching
Archived Teaching Schedule. Please refer to current Teaching Shedule.
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Faculty of Medicine and Life Sciences
Degree Programmes