Ms Elda Kalac defended her BSc hesis on artificial inteligence and big data analytics. In her thesis, she covered the fundamentals of artificial intelligence and machine learning, introduced some basic algorithms and provided discussion on big data and aplicability of AI to big data analysis.
ABSTRACT – This thesis explores the topic of artificial intelligence and big data analytics. The purpose of the study is to provide a theoretical framework for understanding the concepts of artificial intelligence and big data analytics, and to investigate their mutual interaction. The research methodology includes the selection of appropriate methods and algorithms for analyzing big data, description of the data used in the study, and planning of experiments and performance evaluation. Additionally, examples of artificial intelligence algorithms applied in big data analytics are presented. Through the analysis and interpretation of results, the implications of these techniques for enhancing data understanding and making informed decisions are discussed. The conclusion summarizes the main findings of the research and proposes avenues for further exploration. This work provides a foundation for further research in the field of artificial intelligence and big data analytics.
