This class is usually taught by Markus Schedl in the summer term. The class is taught in English.
Information for the current semester (if available):
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Students will acquire basic knowledge for dealing with used-generated data in the fields of machine learning and pattern recognition. They will learn about sources and methods for data extraction from the web and social media as well as techniques for processing this data. The students' skills will be further developed through a practical project involving work with real-world data.
The main topics covered include:
Using real-world, user-generated data, students will conduct several tasks centered around the topic of recommender systems.