Curricula Guides
2018–2019
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
Corresponding course units in the curriculum
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
Archived Teaching Schedule. Please refer to current Teaching Shedule.
Faculty of Medicine and Life Sciences