703075 VO Machine Learning

summer semester 2021 | Last update: 05.03.2021 Place course on memo list
Dr.-Ing. Matteo Saveriano Dr.-Ing. Matteo Saveriano, +43 512 507 53433, +43 512 507 39753
703075
VO Machine Learning
VO 3
4,5
weekly
annually
English

After completing this module, students know and understand important methods of machine learning that allow software systems to independently adjust their parameters based on sample data and/or to continuously optimise their performance. They are able to formalise application problems for machine learning and to solve them using established methods.

Fundamentals in statistical methods. Suprevised learning: classification and regression. Unsupervised learning: clustering, density estimation, and dimensionality redection. Reinforcement learning.

The lecture covers theoretical material that the complementary proseminar exercises in discussions, written problems, and programming projects.

written exam

This course will take most material from Pattern Recognition and Machine Learning by Chris Bishop.

Additional material will be taken from other sources and will be provided to the students before the lecture.

see dates
Group 0
Date Time Location
Tue 2021-03-02
09.15 - 12.00 eLecture - online eLecture - online
Fri 2021-03-05
08.15 - 09.00 eLecture - online eLecture - online TUTORIUM
Tue 2021-03-09
09.15 - 12.00 eLecture - online eLecture - online
Fri 2021-03-12
08.15 - 09.00 eLecture - online eLecture - online TUTORIUM
Tue 2021-03-16
09.15 - 12.00 eLecture - online eLecture - online
Fri 2021-03-19
08.15 - 09.00 eLecture - online eLecture - online TUTORIUM
Tue 2021-03-23
09.15 - 12.00 eLecture - online eLecture - online
Fri 2021-03-26
08.15 - 09.00 eLecture - online eLecture - online TUTORIUM
Tue 2021-04-13
09.15 - 12.00 eLecture - online eLecture - online
Fri 2021-04-16
08.15 - 09.00 eLecture - online eLecture - online TUTORIUM
Tue 2021-04-20
09.15 - 12.00 eLecture - online eLecture - online
Fri 2021-04-23
08.15 - 09.00 eLecture - online eLecture - online TUTORIUM
Tue 2021-04-27
09.15 - 12.00 eLecture - online eLecture - online
Fri 2021-04-30
08.15 - 09.00 eLecture - online eLecture - online TUTORIUM
Tue 2021-05-04
09.15 - 12.00 eLecture - online eLecture - online
Fri 2021-05-07
08.15 - 09.00 eLecture - online eLecture - online TUTORIUM
Tue 2021-05-11
09.15 - 12.00 eLecture - online eLecture - online
Fri 2021-05-14
08.15 - 09.00 eLecture - online eLecture - online TUTORIUM
Tue 2021-05-18
09.15 - 12.00 eLecture - online eLecture - online
Fri 2021-05-21
08.15 - 09.00 eLecture - online eLecture - online TUTORIUM
Tue 2021-05-25
09.15 - 12.00 eLecture - online eLecture - online
Fri 2021-05-28
08.15 - 09.00 eLecture - online eLecture - online TUTORIUM
Tue 2021-06-01
09.15 - 12.00 eLecture - online eLecture - online
Fri 2021-06-04
08.15 - 09.00 eLecture - online eLecture - online TUTORIUM
Tue 2021-06-08
09.15 - 12.00 eLecture - online eLecture - online
Fri 2021-06-11
08.15 - 09.00 eLecture - online eLecture - online TUTORIUM
Tue 2021-06-15
09.15 - 12.00 eLecture - online eLecture - online
Fri 2021-06-18
08.15 - 09.00 eLecture - online eLecture - online TUTORIUM
Tue 2021-06-22
09.15 - 12.00 eLecture - online eLecture - online
Fri 2021-06-25
08.15 - 09.00 eLecture - online eLecture - online TUTORIUM
Group Booking period Date of exam
703075-0 2021-08-23 00:00 - 2021-09-13 23:59
2021-09-27
09:00
Saveriano M.