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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" (Maschinelles Lernen 1-X) is worth 9 ECTS credits.

Course period

From 16.10.2017 to 18.02.2018

Lecture

Tuesdays, 08:15 - 10:00

Room

MA 001

Exercise session

Tuesdays, 10:15 - 12:00

Room

H 2013

Trainers

Prof. Dr. Klaus-Robert Müller (Lecturer)

Gregoire Montavon (Teaching Assistant)

Contact

gregoire.montavon@tu-berlin.de

ISIS

https://isis.tu-berlin.de/course/view.php?id=11204

Language

English

Frequently asked Questions

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/WS17_MaschinellesLernen1 (last edited 2017-11-08 18:29:13 by GrégoireMontavon)