OSNOVI MAŠINSKOG UČENJA I VJEŠTAČKE INTELIGENCIJE

After passing this exam, the student will be able to: Formulate a problem model they want to solve using machine learning techniques; Understand machine learning algorithms, their capabilities, and limitations in solving specific problems; Apply appropriate mathematical tools, algorithms, and machine learning techniques to real data and problem-solving, and adapt and modify them as needed; Describe and interpret the results of applying machine learning techniques; Understand the mathematical and theoretical concepts underlying machine learning algorithms; Model and simulate data and experiments necessary for the analysis, verification, and comparison of existing as well as modified or newly developed machine learning techniques.