Speaker
Tomasz Orczyk
(Uniwersytet Śląski w Katowicach)
Description
Tomasz Orczyk, PhD, Eng.
During the three-hour module, students will be introduced to the challenges that can arise in data used in machine learning for model training and testing/validation. Issues related to incomplete, imbalanced, non-Euclidean (categorical, angular) data, and concept drift will be addressed. Examples of using this type of data in machine learning will be presented.