Teaching assistant, FOI
Dunja Višnjić is a Teaching Assistant at the Faculty of Organization and Informatics, at the Department of Information Systems Development. Dunja graduated from the same faculty in the 2020 program Economics of Entrepreneurship (cum laude). Dunja teaches courses 'Knowledge discovery in data' and 'Intelligent systems'. She is a Ph.D. candidate at a postgraduate doctoral study in Social Sciences in the field of Information Sciences. She is currently dedicated to the project: “SIMON: Intelligent system for automatic selection of machine learning algorithms in social sciences”. Her professional interests lie at the intersection of machine learning & data science and social sciences. In the past, she worked as a data analysis and reporting officer.
In today's data-driven society, data mining has become essential for businesses to understand their audience, identify patterns, and adapt to trends. There are plenty of data mining/machine learning techniques available for extracting the insights needed for meaningful business decisions. This lecture will introduce decision trees, simple algorithms used across a variety of industries. It will cover how they work, terminology and concepts, different types of decision trees, and demonstrate the process of building a classification model in Matlab programming language to solve one practical problem in a business environment.