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Machine Learning for Engineers; Introduction to Methods and Tools (MLE-L)- Lecturers
- Prof. Dr. Björn Eskofier, Prof. Dr.-Ing. Jörg Franke, Prof. Dr.-Ing. Nico Hanenkamp
- Details
- Vorlesung mit Übung
Online
, ECTS studies, ECTS credits: 5, Sprache Englisch
Zeit: ; comments on time and place: Please see VHB for further details: https://kurse.vhb.org/VHBPORTAL/kursprogramm/kursprogramm.jsp?kDetail=true&COURSEID=13154,72,1399,1
- Fields of study
- WF WING-BA 3-6
WF WING-BA-IKS-ING-MG1 1-3
WF ME-BA 3-6
WF ME-MA 1-3
WF MB-BA 3-6
WF MB-MA 1-3
WF IP-BA 3-6
- Prerequisites / Organisational information
- The official start-date is the 2.11, but joining the course at a later date is possible. For this course, there exist no conventional lectures and predefined dates, but a series of videos, exercises and supplemental material, which you are expected to learn in a self-taught manner. You can expect support by the tutors in the forum, E-Mail and on-demand exercises.
Course-access via Studon is NOT possible. The registration is ONLY possible via the VHB portal.
Please contact for any questions the responsible tutors and organizers: franz.koeferl@fau.de, bejamin.lutz@faps.fau.de, matthias.muehlbauer@fau.de.
- Contents
- This is an introductory course for machine learning. Simple concepts like linear modeling, support vector machines, dimensionality reduction and deep neural networks are conveyed. For more details have a look at the VHB webpage.
- ECTS information:
- Credits: 5
- Additional information
- Verwendung in folgenden UnivIS-Modulen
- Startsemester WS 2020/2021:
- Machine Learning for Engineers; Introduction to Methods and Tools (MLE)
- Department: Lehrstuhl für Maschinelles Lernen und Datenanalytik
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