Vorlesungsverzeichnis

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Start > Masterprogramm Management (M.A./M.Sc.) -> Management & Data Science -> Special Topics in Data Science

Lehrveranstaltungen

Advanced Machine Learning (Vorlesung)

Inhalt: The course deals with advanced topics in machine learning and focuses on techniques that exceed the standard supervised learning setting (e.g., discriminating positive and negative classes). Possible topics include intelligent retrieval, recommendation, text mining, sequential learning, graphical models, clustering, semi-supervised learning, etc.

Masterprogramm Management - Management & Data Science - Special Topics in Data Science

Numerical Algorithms and Methods to Identify Dynamical Systems for Data Analysis and Reconciliation (Vorlesung)

Dozent/in: Paolo Mercorelli

Termin:
wöchentlich | Donnerstag | 16:15 - 17:45 | 18.10.2021 - 04.02.2022 | C 40.106 Konrad-Zuse-Raum

Inhalt: The course is structured in three parts: - Recursive Least Squares Methods System Identification - Kalman Filters: the linear case, the nonlinear case (extended and augmented Kalman filters), cascaded Kalman Filters, Dual Kalman Filters - Introduction to Wavelets packets: Data Analysis and Reconciliation The topics mentioned above are developed using Matlab/Simulik directly in the Computers Room together with the teacher.

Masterprogramm Management - Management & Data Science - Special Topics in Data Science