In this seminar, we will discuss recent results in algorithms research, with a focus on the relationship between dynamic algorithms and machine learning. We will study basic algorithms for supervised and unsupervised machine learning tasks in which the input data is constantly changing and the algorithm quickly has to adapt its output after each such change. Further topics of interest include the use of novel dynamic matrix data structures in (static) machine learning algorithms and dynamic algorithms for data science tasks.

Title: Seminar for Computer Science: Dynamic Machine Learning Algorithms
Course number: 911.047
Course Type: Seminar (SE)
Time and date: Tuesday, 14:30-16:00, SR T05 (Jakob-Haringer-Straße 2)
First meeting: October 10
ECTS: 5 credit points
Instructor: Sebastian Forster
Language: English
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