This website is the written documentation of the Seminar Principles of Data Mining and Learning Algorithms – „Selected Algorithms from Machine Learning and Data Mining“ MA-INF 4209, taught at the University of Bonn during the Summer Term 2019 by Pascal Welke & Michael Kamp.

The seminar is based on the book „Understanding Machine Learning“ by Shai Shalev-Shwartz and Shai Ben-David. Below, you find the write-ups of our sessions.

Session	Presenter	Book Chapter	Link	Screencast
1	Pascal Welke	Part I	Formal Models of Learning	Screencast
2	Eric Hahn	14	Stochastic Gradient Descent	Screencast
3	Thiago Bell	20	Neural Networks	Screencast
4	Manuel Blatt	13	Regularization and Stability	Screencast
5b	Thiago Bell	15	Support Vector Machines	Screencast
5b	Eric Hahn	16	Kernel Methods	Screencast
6	Manuel Blatt	11	Model Selection and Validation	Screencast
X	All	All	Collected Errata