![]() ![]() LSTMs) and, of course, word embedding methods such aus BERT, GPT-2, etc. Participating students have to have a good knowledge of machine learning methods in the area of text and data analysis, in particular, NLP, deep learning, recurrent networks (e.g. ![]() by synonyms, proposed keywords, etc.) and others. "Students who did course A also subscribed course B"), smart search (e.g. project contents and research profiles, course contents and student profiles, etc.), recommender systems (e.g. Topics include matching of data cagetories (e.g.
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