Module Import 04IN2028 - Machine Learning & Data Mining

Machine Learning is devoted to automated learning from input data. It suggests explanation models and estimates their parameters for understanding and predicting the future system behavior. Machine learning serves a formal backbone for many methods and models of computer science.

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04IN2028-1 - Machine Learning & Data Mining

The lecture addresses master students in computer science, computer visualistics, information management, business informatics and Web science that want to extend and to structure their knowledge in machine learning. Lecture topics include linear discriminators, kernel-based methods, Bayesian methods, as well as common applications in Computer Science problems. Special attention is paid to modern, state of the art methods and approaches that are currently widely used in different fields of Computer Science.

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Basic knowledge in linear algebra, stochastics, data structures and algorithms.

Written or oral exam (depending on class size)

In order to be admitted to the exam the students must participate actively in the lectures and tutorials

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04IN2028-1 - Machine Learning & Data Mining

Bishop: Pattern Recognition and Machine Learning

Duda, Hart, Stork: Pattern Classification

Manning, Schütze: Foundations of Statistical Natural Language Processing

1. unmodified as Elective  -    BSc Computer Science 2017  -    Mandatory elective courses Computer Science  -    Machine Learning & Data Mining
2. unmodified as Elective  -    BSc Computational Visualistics 2017  -    Mandatory elective courses Computer Science  -    Machine Learning & Data Mining
3. unmodified as Elective  -    BSc Computational Visualistics 2017  -    Mandatory elective courses in Computational Visualistics or computer science  -    Machine Learning & Data Mining
4. unmodified as Elective  -    MSc Computer Science 2017  -    Mandatory elective courses Computer Science  -    Machine Learning & Data Mining
5. unmodified as Elective  -    MSc Computer Science 2017  -    Major subject computer science  -    Data and Knowledge Engineering  -    Machine Learning & Data Mining
6. unmodified as Elective  -    MSc Computer Science 2017  -    Major subject computer science  -    Software Engineering  -    Machine Learning & Data Mining
7. unmodified as Elective  -    MSc Computational Visualistics 2017  -    Mandatory elective courses Computer Science  -    Machine Learning & Data Mining
8. unmodified as Elective  -    MSc Computational Visualistics 2017  -    Mandatory elective courses in Computational Visualistics or computer science  -    Machine Learning & Data Mining
9. unmodified as Elective  -    MSc Computational Visualistics 2017  -    Mandatory elective courses in theoretical computer science and mathematics  -    Machine Learning & Data Mining
10. unmodified as Elective  -    MSc Computational Visualistics 2017  -    Mandatory elective courses in theoretical computer science and mathematics or natural and social sciences  -    Machine Learning & Data Mining
11. unmodified as Elective  -    MSc Information Systems 2017  -    Mandatory elective courses Application Systems in Business and Administration  -    Machine Learning & Data Mining
12. unmodified as Elective  -    MSc Web Science 2017  -    Mandatory elective courses Computer Science  -    Machine Learning & Data Mining

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