Machine Learning for Process Monitoring
Numerous real-world processes require close monitoring by humans and machine learning (ML) models in order to verify calibration/stability and detect potential shifts/anomalies. The real-time nature of such tasks brings unique challenges from a ML perspective. This seminar will explore relevant ML aspects such as online learning, real-time data visualization, and energy efficiency. Use cases in manufacturing and intensive care will be covered.
Students will select a few papers from a pool of thematically relevant research papers, which they will read and present over the course of the semester.
(19333511)
Typ | Seminar |
---|---|
Dozent/in | Dr. Grégoire Montavon |
Institution | Dept. of Mathematics and Computer Science Institute for Computer Science |
Sprache | Englisch |
Semester | Wintersemester 2022/2023 |
Veranstaltungsumfang | |
Leistungspunkte | 5 |
Raum | Takustr. 9 055 |
Beginn | 21.10.2022 | 16:00 |
Ende | 17.02.2023 | 18:00 |
Zeit | Friday, 4-6 a.m. |