Machine Learning and Data Analysis

Graduate course, Czech Technical University, Computer Science, 2017

The course explains machine learning methods helpful for getting insight into data by automatically discovering interpretable data models such as graph- and rule-based. The course will also address a theoretical framework explaining why/when the explained algorithms can in principle be expected to work. The lectures are given in English.

Course website