Independent Study Course: Information Theory

8.3451

Dozenten

Beschreibung

Since its beginnings, information theory is closely connected with
computer and neuroscience and provides a sound framework to address
various problems in these fields. This course will cover the central
notions and fundamental results of information theory and then look on
applications in machine learning, statistical inference and computer
vision, based on selected parts of [1].

The ideal participant of this class would have some background in
machine learning or neuroinformatics. S/he should enjoy mathematical
thinking and be prepared to work through formal problems in decent
detail. Familiarity with basic calculus, probability theory, and
linear algebras does not harm, but is no hard requirements for this
course.

[1] David MacKay (2005): Information Theory, Inference, and Learning Algorithms
Cambridge University Press

Weitere Angaben

Ort: nicht angegeben
Zeiten: Fr. 08:30 - 10:00 (wöchentlich)
Erster Termin: Freitag, 24.04.2020 08:00 - 10:00
Veranstaltungsart: Seminar (Offizielle Lehrveranstaltungen)
Sprache: 2
ECTS-Punkte: 4

Studienbereiche

• Veranstaltungen > Cognitive Science > Bachelor-Programm
• Veranstaltungen > Cognitive Science > Master-Programm