The course gives a comprehensive introduction to machine learning, which is a field concerned with learning from examples and has roots in computer science, statistics and pattern recognition. The objective is realized by presenting methods and tools proven valuable and by addressing specific application problems.
As described in § 17.
|Name of exam
|Type of exam
Written or oral exam
|Type of grading
|Criteria of assessment
|The criteria of assessment are stated in the Examination Policies and Procedures
|Language of instruction
|Location of the lecture
|Responsible for the module
|Study Board of Electronics and IT
|Department of Electronic Systems
|The Technical Faculty of IT and Design