Palacký University Olomouc
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for academic year 2024/2025
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Course: Machine Learning a Data Mining 2

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Course title Machine Learning a Data Mining 2
Course code KMI/MLDM2
Organizational form of instruction Lecture + Exercise
Level of course Master
Year of study not specified
Semester Winter
Number of ECTS credits 4
Language of instruction Czech
Status of course Compulsory, Compulsory-optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Bělohlávek Radim, prof. RNDr. Ph.D., DSc.
  • Outrata Jan, doc. Mgr. Ph.D.
  • Trnečka Martin, RNDr. Ph.D.
  • Bartl Eduard, doc. RNDr. Ph.D.
Course content
unspecified

Learning activities and teaching methods
unspecified
Learning outcomes
Prerequisites
unspecified

Assessment methods and criteria
unspecified
Recommended literature
  • C. Borgelt, M. Steinbrecher, R. Kruse. Graphical Models Representations for Learning, Reasoning and Data Mining.
  • Hastie T., Tibshirani, R., Friedman, J. The Elements of Statistical Learning: Data Mining, Inference, and Prediction.
  • Christopher Bishop. Pattern Recognition and Machine Learning.
  • Ian Goodfellow and Yoshua Bengio and Aaron Courville. Deep Learning.
  • K. P. Murphy. Machine Learning: A Probabilistic Perspective.
  • Kruse, R., Borgelt, C., Braune, C., Mostaghim, S., Steinbrecher, M. Computational Intelligence.
  • Nielsen, Thomas Dyhre, VERNER JENSEN, FINN. Bayesian Networks and Decision Graphs.
  • Pang-Ning Tan Michael Steinbach Vipin Kumar. Introduction to Data Mining.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Science Study plan (Version): Bioinformatics (2021) Category: Informatics courses 2 Recommended year of study:2, Recommended semester: Winter
Faculty: Faculty of Science Study plan (Version): Applied Computer Science - Specialization in Computer Systems and Technologies (2024) Category: Informatics courses 2 Recommended year of study:2, Recommended semester: Winter
Faculty: Faculty of Science Study plan (Version): Computer Science - Specialization in Artificial Intelligence (2020) Category: Informatics courses 2 Recommended year of study:2, Recommended semester: Winter
Faculty: Faculty of Science Study plan (Version): Applied Computer Science - Specialization in Software Development (2024) Category: Informatics courses 2 Recommended year of study:2, Recommended semester: Winter
Faculty: Faculty of Science Study plan (Version): Computer Science - Specialization in General Computer Science (2020) Category: Informatics courses 2 Recommended year of study:2, Recommended semester: Winter
Palacký University Olomouc, date of update: 01.05.2025 23:59. Data created for academic year 2024/2025