After successful completion of the course, students are able to understand basic methods in the field of machine learning and to solve typical problems by applying sophisticated machine learning algorithms.
overview machine learning
regression, LS, vector support machines
adaptive algorithms for neuronal networks (LMS, RLS, PLA, Backpropagation)
Deep Learning
classification (Lloyd)
Lecture together with homework assignments and small projects
First lecture October 1, 2020, 10am
There is no presence lectures
all material is audio taped and offered via the web
oral examination with focus on own projects
Not necessary
SP1 and 2 should be an active knowledge