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

Thursdays, 10 - 12

Room

MAR 0.016

Exercise session

Thursdays, 12 - 14

Room

MAR 0.016

Trainers

Prof. Dr. Klaus-Robert Müller (Lecturer)

Gregoire Montavon (Teaching Assistant)

Contact

gregoire.montavon@tu-berlin.de

ISIS

https://www.isis.tu-berlin.de/2.0/course/view.php?id=2423

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.

https://wiki.ml.tu-berlin.de/wiki/Main/WS14_PythonKurs

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 usually held in English.

The scheduled topics are:

IDA Wiki: Main/WS14_MaschinellesLernen1 (last edited 2014-10-09 19:11:32 by GrégoireMontavon)