Data Mining and Exploration, Spring 2019

The aim of this course is to discuss modern techniques for analyzing, interpreting, visualizing and exploiting the data that is captured in scientific and commercial environments. The course develops the ideas taught in various machine learning courses and discusses the issues in applying them to real-world data sets, as well as teaching about other techniques and data-visualization methods.

The course consists of lectures, supporting computer labs, poster presentations on research papers by the students, and a practical mini-project on a real-world dataset.

Lecturer: Arno Onken | Office hours: Tuesdays 14-16 IF 2.27A
Teaching Assistant: Benedek Rózemberczki
DME catalogue pages: DRPS | Learn | Timetable
Questions and answers: Piazza