SGN-13006 Introduction to Pattern Recognition and Machine Learning, 5 cr
Lessons
Study type | P1 | P2 | P3 | P4 | Summer | Lecture times and places |
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Description:
This course provides basic understanding of pattern recognition and machine learning methods needed for signal and data interpretation. Many methods are general and can be used in all fields of engineering.
Person responsible:
Joni Kämäräinen
Target groups:
International Students
Assessment scale:
Numerical evaluation scale (1-5) will be used on the course
Additional information of course implementation:
To pass the course you need to actively participate the lectures and do the exercises. You need to familiarise yourself to the given exercise questions before the exercise session.