Hana graduated with a Master's degree in machine learning from Université Laval's Research and Machine Learning Group (GRAAL). A major part of her work is related to domain adaptation, i.e. designing algorithms that use data from different sources than that from which the algorithms will be tested.
Apart from her area of expertise, transfer learning and domain adaptation, she is also currently collaborating with academic and industrial colleagues to apply machine learning algorithms to specific security and mining concerns.
LET'S GET YOUR PROJECT STARTED!