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04-10-0598 Mathematische Grundlagen des Maschinellen Lernens · TUPlan

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04-10-0598

Mathematische Grundlagen des Maschinellen Lernens

FB04 Mathematics · Offered in SoSe 2026

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Weekly sessions · SoSe 2026

Mon09:50–11:30S105/122 · Vorlesung und Übung
Mon16:15–17:55S311/08 · Vorlesung und Übung
Wed08:00–09:40S105/122 · Vorlesung und Übung
Wed11:40–13:20S101/A01 · Übung 1
Wed11:40–13:20S115/020 · Übung 2
Thu13:30–15:10L402/3 · Übung 4
Thu13:30–15:10S215/234 · Übung 5
Fri09:50–11:30L402/340 · Übung 3

Parts

04-10-0598-vuLecture with exercise

Language: Deutsch
Taught by: PD Dr. Kersten Schmidt, M.Sc. Vincent Manuel Molinero Römer, M.Sc. Alisha Jessica Lilli Sänger

Course content

Lineare Gleichungssysteme und Ausgleichsrechnung, lineare Regression, Eigenwert- und Singulärwertzerlegung, Hauptkomponentenanalyse, Bayessche Statistik, Ridge Regression, Dimensionsreduktion, Niedrigrang-Approximation, nichtlineare Ausgleichs- und Minimierungsprobleme, Newton-Verfahren, nichtlineare Regression, LASSO, Regularisierungen, Interpolation und numerische Integration, Funktionsapproximation, radiale Basisfunktionen, Monte-Carlo Verfahren, Netzwerke für Regression, Faltungsnetzwerke, Training von Netzwerken, Deep Learning

Exam dates

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