After the student passes this exam, they will be able to: 1. Understands intelligent methods and their function in data analysis and prediction in agribusiness 2. Evaluates and selects the appropriate intelligent method depending on the type of problem from agribusiness 3. Collects data from various sources and prepares in an appropriate format for analysis 4. Builds models and evaluates them using business intelligence tools 5. Interprets and interprets the obtained results
Name | Lectures | Exercises | Laboratory |
---|---|---|---|
LJILJANA KAŠĆELAN | 3x1 5B | 2x1 5B |