389.204 Machine Learning Algorithms
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2020W, VU, 4.0h, 6.0EC
TUWEL

Properties

  • Semester hours: 4.0
  • Credits: 6.0
  • Type: VU Lecture and Exercise
  • Format: Online

Learning outcomes

After successful completion of the course, students are able to understand basic methods in the field of machine learning and to solve typical problems by applying sophisticated machine learning algorithms.

Subject of course

overview machine learning

regression, LS, vector support machines

adaptive algorithms for neuronal networks (LMS, RLS, PLA, Backpropagation)

Deep Learning

classification (Lloyd)

Teaching methods

Lecture together with homework assignments and small projects

Mode of examination

Oral

Additional information

First lecture October 1, 2020, 10am, via Zoom Meeting

ttps://tuwien.zoom.us/j/92597078196?pwd=alVPQk4wQll3TnBRUFFtNWIvT3Y5Zz09

 

Meeting ID: 925 9707 8196

Password: Tigger12

 

There is no presence lectures

 

all material is audio taped and offered via the web

 

Lecturers

Institute

Examination modalities

oral examination with focus on own projects

Course registration

Not necessary

Curricula

Study CodeObligationSemesterPrecon.Info
066 507 Telecommunications Elective

Literature

No lecture notes are available.

Previous knowledge

SP1 and 2 should be an active knowledge

Language

English