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MAŠINSKO UČENJE


Semester: 1
ECTS: 4
Status: Obavezan
Lessons: 3+0+0
Double: Ne
ECTS catalogue
Learning outcomes:

At the end of the course, the participant is expected to be able to: 1. Identify the similarities and differences among various search algorithms [Usage] 2. Formulate an efficient problem space for a problem expressed in natural language and formulate a problem as a search problem [Usage] 3. Compare and contrast the basic techniques for representing uncertainty and inference algorithms [Assessment] 4. Identify the similarities and differences among various machine learning algorithms [Usage] 5. Integrate the machine learning techniques in the software [Usage]

Teaching staff

Name Lectures Exercises Laboratory
IGOR JOVANČEVIĆ3x1
1S+2P

New announcement - 03.12.2021 21:41

New announcement - 26.11.2021 18:54

New announcement - 19.10.2021 15:43

New announcement - 13.02.2021 14:12

New announcement - 07.11.2020 19:52

New announcement - 06.11.2020 10:24

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