У оквиру СЦЛ семинара Центра за изучавање комплексних система, у четвртак, 20. септембра 2018. у 14 часова у читаоници библиотеке „Др Драган Поповић“, др Андреја Стојић (Лабораторија за физику животне средине, Институт за физику у Београду) одржаће предавање:
Explainable machine learning
САЖЕТАК:
Over recent years, the success in the application of artificial intelligence implemented in machine learning, supported by the great availability of high-dimensional data, has become evident in all fields of science. Nevertheless, understanding and correctly interpreting complex models for predicting natural and social phenomena, such as random forests, deep neural networks or an extreme gradient boosting, can be challenging. The ability to accurately interpret a model’s prediction, comprehend causality and features that drive prediction, supports deeper understanding of the process being modeled. Therefore, it is critical that researchers gain insight into the way such models arrive at their predictions. This seminar will cover some basic concepts of machine learning and an a posteriori explanation framework based on consistent, locally accurate, individualized feature attribution methods, aimed at shedding light on problems where human intuition and domain knowledge are often limited.