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Introduction to Machine Learning Tutorial (IntroML-Tut)
- Verantwortliche/Verantwortlicher
- Paul Stöwer, M. Sc.
- Angaben
- Übung
Online 2 SWS
für FAU Scientia Gaststudierende zugelassen, Sprache Englisch
- Studienfächer / Studienrichtungen
- WPF ME-BA-MG6 3-5
WPF MT-BA 5
WF CE-BA-TW ab 5
WPF INF-BA-V-ME ab 5
WPF INF-BA-V-MI ab 5
WPF DS-BA ab 2
WPF IuK-BA ab 5
WPF ME-MA-MG6 1-3
- ECTS-Informationen:
- Contents
- This course extension is for deepening your knowledge and creating a good basis for lectures in the field of Pattern Recognition. There will be several practical programming tasks, based on the lecture content, which have to be implemented by your own. Each programming task is described in detail via stand-alone worksheets being uploaded to StudOn. You have a certain period of time to complete a worksheet and deliver the code by uploading your results to StudOn. You can use the weekly programming exercise slots to ask questions about solving the problems, but all in all, you have to do the work on your own. Of course, it is not allowed to just copy and paste from the web, which will lead to failing the course.
- Literature
- lecture notes
H. Niemann: Klassifikation von Mustern
H. Niemann: Pattern Analysis and Understanding
S. Theodoridis and K. Koutroumbas: Pattern Recognition, 4th ed., Academic Press, 2009.
- Zusätzliche Informationen
- Schlagwörter: Mustererkennung, Vorverarbeitung, Merkmalsextraktion, Klassifkation
Erwartete Teilnehmerzahl: 250, Maximale Teilnehmerzahl: 250
- Zugeordnet zu: Introduction to Machine Learning
- Verwendung in folgenden UnivIS-Modulen
- Startsemester SS 2022:
- Introduction to Machine Learning (IntroML)
- Institution: Lehrstuhl für Informatik 5 (Mustererkennung)
Kurse
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