Machine Learning 1

General Information

Machine Learning 1 is a compulsory course in the module "Maschinelles Lernen 1" and is worth 6 LP (6 ECTS credits). The whole module "Maschinelles Lernen 1" is worth 9 ECTS credits.

Lecture

Fridays, 14:15 - 16:00

Room

H 0107

Exercise session

Fridays, 16:15 - 18:00

Room

H 0107

Trainers

Prof. Dr. Klaus-Robert Müller (Lecturer)

Stefan Haufe (Lecturer)

Gregoire Montavon (Teaching Assistant)

Contact

gregoire.montavon@tu-berlin.de

ISIS

https://isis.tu-berlin.de/course/view.php?id=8410

Language

English

Important: First lecture will take place in room H 2032

Prerequisites

The following are optional prerequisites which are helpful but not necessary for taking the course:

As thematical preparation, it is recommended to visit the Python course or the mathematical foundations course which are also accreditable as optional compulsory course part and which take place in the weeks prior to the start of the lecture period.

Topics

In the lecture, introductory topics in the field of machine learning are presented. After the lecture, the learnt methods are revisited and last week's exercises are explained in the exercise session. Both lecture and exercise session are held in English.

The scheduled topics are:

IDA Wiki: Main/WS16_MaschinellesLernen1 (last edited 2016-10-20 11:17:17 by GrégoireMontavon)