703107 Introduction to Machine Learning

summer semester 2017 | Last update: 22.03.2017 Place course on memo list
703107
Introduction to Machine Learning
VO 2
3
weekly
annually
English
How can we design learning software systems that adjust their parameters according to example data, continually optimize their own performance, and/or automatically adapt to changing contexts? This course conveys knowledge of basic techniques and competences in the formulation and solution of problems of machine learning.
Fundamentals in statistical methods, classification and regression; plus selected topics
The lecture covers theoretical material that the complementary proseminar exercises in discussions, written problems, and programming projects.
Oral exam.
See Link.
The course is designed as VO+PS. All participants are expected to participate in both VO and PS.
see dates
Group 0
Date Time Location
Tue 2017-03-14
09.15 - 11.00 HSB 4 HSB 4 Barrier-free
Tue 2017-03-21
09.15 - 11.00 HSB 4 HSB 4 Barrier-free
Tue 2017-03-28
09.15 - 11.00 HSB 4 HSB 4 Barrier-free
Tue 2017-04-04
09.15 - 11.00 HSB 4 HSB 4 Barrier-free
Tue 2017-04-25
09.15 - 11.00 HSB 4 HSB 4 Barrier-free
Tue 2017-05-02
09.15 - 11.00 HSB 4 HSB 4 Barrier-free
Tue 2017-05-09
09.15 - 11.00 HSB 4 HSB 4 Barrier-free
Tue 2017-05-16
09.15 - 11.00 HSB 4 HSB 4 Barrier-free
Tue 2017-05-23
09.15 - 11.00 HSB 4 HSB 4 Barrier-free
Tue 2017-05-30
09.15 - 11.00 HSB 4 HSB 4 Barrier-free
Tue 2017-06-06
09.15 - 11.00 HSB 4 HSB 4 Barrier-free
Tue 2017-06-13
09.15 - 11.00 HSB 4 HSB 4 Barrier-free
Tue 2017-06-20
09.15 - 11.00 HSB 4 HSB 4 Barrier-free
Tue 2017-06-27
09.15 - 11.00 HSB 4 HSB 4 Barrier-free