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Arkistoitu opetussuunnitelma 2017–2019
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BIO4722 SGN-41007 Pattern Recognition and Machine Learning 5 op
Organised by
Master's Degree Programme in Bioinformatics
Corresponding course units in the curriculum
BioMediTech
Curricula 2015 – 2017
BIO4722 Machine Learning 5 ECTS

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 such as making various inferences.

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.
2018–2019
Teaching
Archived Teaching Schedule. Please refer to current Teaching Shedule.
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