Integrated Lecture "Kognitive Algorithmen"
Computer programs can learn useful cognitive skills. This integrated lecture tries to communicate an intuitive understanding of elementary concepts in machine learning, their historical development and their application on real data with a special focus on methods that are simple to implement.
We will alternated a lecture and a practice session. In the practice session students will implement and apply machine learning algorithms on real data in Python.
Dates
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Thursday, 10:00 - 12:00, 11.04.2013 - 11.07.2013 |
Room: MAR 4.064 |
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Topics
We will cover (among other things)
- Supervised learning (linear regression techniques, linear classification, kernel based regression)
- Artificial Neural Networks (Reichardt Correlator, Perceptron Algorithm, Multilayer Neural Networks)
- Unsupervised Learning (Principal Component Analysis, Clustering)
- Model Selection
More information can be found on the ISIS Website
Credits
The integrated lecture is the compulsory part of the B.Sc. module "Kognitive Algorithmen" in Computer Science. The "Kognitive Algorihtmen" module is a 6 ECTS/SP module, and consists of
* The compulsory lecture and practice session (2 SWS / 3 SP / 3 ECTS), and * an elective part: ** a Math refresher course ** an introduction to python programming for machine learning ** a seminar ("Applications of Cognitive Algorithms") for a more in-depth treatment of selected applications.