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| In the general case, it is not possible to take the seminar as a standalone course. There are possible exceptions to this (e.g. it complements another ML or related course you are taking in parallel). In that case, a special request needs to be made. | Note: It is not possible to take the seminar as a standalone course. |
Block-Seminar "Big Data & Scalable Machine Learning"
The Big Data & Scalable Machine Learning Seminar is an optional course in the module "Machine Learning 1-X" and is worth 3 LP (3 ECTS credits).
Note: It is not possible to take the seminar as a standalone course.
Termine und Informationen
Erster Termin für Themenvergabe |
Friday 18 Oct 2019 from 10:00 to 11:00 in H 111 |
Verantwortlich |
Prof. Dr. Klaus-Robert Müller |
Dozent: |
Gregoire Montavon, gregoire.montavon@tu-berlin.de |
Sprache |
Englisch |
Anrechenbarkeit |
Wahlpflicht LV im Modul Machine Learning 1-X (Computer Science M.Sc.) |
ISIS |
This seminar will cover a number of topics to scale machine learning, such as stochastic optimization methods, neural networks, distributed machine learning, and cover key applications such as learning from big data or real-time data analysis.
Students will read, understand, evaluate and present selected research papers. At the end of the semester, each student will present his/her topic in a 20 min talk (+ 5-10 min questions) in English. Students are required to attend the entire seminar.