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.
|Instructor||Dr. Grégoire Montavon|
|Institution||Dept. of Mathematics and Computer Science|
Institute for Computer Science
|Scope of Course|
|Room||Takustr. 9 055|
|Start||Oct 21, 2022 | 04:00 PM|
|end||Feb 17, 2023 | 06:00 PM|
Friday, 4-6 a.m.