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Lecturer(s)
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Červa Petr, doc. Ing. Ph.D.
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Šafařík Radek, Ing.
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Žďánský Jindřich, Ing. Ph.D.
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Kynych František, Ing.
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Course content
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Lecture topics: 1. Introduction 2. Data visualization 3. Text vectorization - Word2Vec and GloVe 4. Text search 5. Text search 2 6. Web search 7. Clustering 8. Clustering 2 9. Modern language models 10. Document categorization by topic, sentiment analysis 11. Recommender systems 12. Anomaly detection 13. Pattern search 14. Genetic algorithms
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Learning activities and teaching methods
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Monological explanation (lecture, presentation,briefing), Self-study (text study, reading, problematic tasks, practical tasks, experiments, research, written assignments)
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Learning outcomes
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Prerequisites
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unspecified
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Assessment methods and criteria
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Combined examination
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Recommended literature
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BERKA, Petr. Dobývání znalostí z databází. 2003. ISBN 80-200-1062-.
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