Wintersemester 2020/21

Inhalt der Veranstaltung

The seminar deals with the theory of machine learning from a (mathematically) rigorous statistical perspective. The so-called PAC (probably almost correct) learning framework focusses on the question how well a machine learning algorithm which was trained on random independent data can make predictions on new instances which are generated from the same but unknown probability distribution.

After explaining the statistical learning framework, the seminar will discuss uniform convergence results and the VC dimension. It will also discuss theoretical aspects of different machine learning models, such as convex learning, support vector machines, boosting, online learning and stochastic gradient descent. It will cover regularisation, model selection and dimensionality reduction. Rademacher complexities will be included.

We will have a first online meeting for explaining the goal of the seminar and the registration process:

Diese Veranstaltung ist Bestandteil des gleichnamigen Moduls mit 3 LP (2 SWS).

ISIS webpage : https://isis.tu-berlin.de/course/view.php?id=22421 (id = 22421) 

Inhalt der Veranstaltung

The projects should allow students to develop an understanding of recent (mostly probabilistic) ideas and techniques in the research areas of Machine Learning and Artificial Intelligence. Projects will be based mainly on original literature (research papers or textbook contributions, usually written in English) and might come from areas such as reinforcement learning, active learning, probabilistic ICA and Bayesian learning of dynamical systems. Assessment of the projects will be based on a written project report and a seminar presentation (in German or English).

We will have a first online meeting for explaining the goal of the seminar and the registration process:

LV 0435 L716 - 6 SWS - Projekte im Studiengebiet KI.

Diese Veranstaltung ist Bestandteil des Moduls PJ Stat. Methoden - 9LP.

 ISIS Webpage : https://isis.tu-berlin.de/course/view.php?id=22420 (id = 22420)

Inhalt

Das Seminar soll einen praxisorientierten Überblick über Anwendungen von Algorithmen der Künstlichen Intelligenz vermitteln. Es ist als Ergänzung zur Vorlesung und Übung Künstliche Intelligenz: Grundlagen und Anwendungen gedacht.

3435 L722 - 2 SWS - Seminar im Studiengebiet KI Die Veranstaltung ist Bestandteil des Moduls Künstliche Intelligenz: Grundlagen, Anwendungen und Seminar - 9LP -. Diese Veranstaltung wird online mit ISIS durchgeführt.
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