CS-E4075 - Special Course in Machine Learning, Data Science and Artificial Intelligence D: Signed graphs: spectral theory and applications, 20.04.2021-27.05.2021
This course space end date is set to 27.05.2021 Search Courses: CS-E4075
Topic outline
-
Review materials
Linear algebra: Read sections 1, 2 and 3 of this document. It is a very concise exposition of most of the basic concepts you should understand.
Probability: Please note that probability is not nearly as important as linear algebra for this course. Still, it might be a good idea to refresh some basics. Take a look a this document, but don't worry if you don't understand everything in it. The concepts of expectation and independence are examples of what we will use.
Slides and recordings
Lecture 1: Review of spectral theory
Lecture 3: Visualization
SlidesLecture 5: Spectral clustering
Lecture 8: Open problems