With the « very » fast growing of data, which is produced every day by each of us, it becomes more important –than ever before- to analyse, understand and present this data. For this, compatible techniques of analysis and visualisation are developed.
In this seminar, we will focus on new approaches being used for analysing any kind of data. A student will study one of these techniques (published in a scientific article) and present it (25 min) at the end of the semester. The student is required also to write a technical report (8-10 pages).
This seminar is for master students with fundamental knowledge in machine learning, statistics or related fields. Note also that the seminar will be held in English.
- Kick-off meeting: February 6th, 14:15 room F 312