In this fully hands-on introductory session, you’ll learn how decision trees classify information and how random forests works. Through an interactive game-based activity, you’ll step into the role of the algorithm, discover the strengths and weaknesses of decision trees, and see how these models can be applied in agriculture, soil, and environmental sciences. By the end, you’ll have the confidence to build and run your own random forest models in R Studio.

This series is hosted by the NC State Data Science and AI Academy as part of Data Science and AI Week. The series brings leading experts from academia, industry and government to campus for in-depth talks on the latest challenges and innovations in data science and artificial intelligence. Each session highlights real-world applications, research breakthroughs, and professional pathways, giving students, faculty and partners the opportunity to learn directly from distinguished practitioners.

This series is designed to spark conversation across disciplines, showcase the impact of data science and AI in diverse fields, and connect the NC State community with thought leaders shaping the future of technology.