MAŠINSKO UČENJE

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]