An introduction to machine learning (2/3)

Datum

04.12.2018

Zeit

15:00 - 16:00

Sprecher

Alessandro Carderi

Zugehörigkeit

TU Dresden, Institut für Geometrie

Sprache

en

Hauptthema

Mathematik

Andere Themen

Mathematik

Host

Prof. Dr. A. Thom

Beschreibung

This series of lectures aims at Master‘s and PhD students in mathematics and offers a first glimpse into topics which are not routinely taught in our MSc/PhD programme. The emphasis is to introduce new concepts and techniques, and not to present full mathematical details. The aim of this graduate lecture is to give a concise introduction to machine learning. Our focus will be to show that this theory gives rise to many interesting mathematical problems connected to combinatorics, probability theory and the phenomenon of concentration of measure. In particular we will focus on the k-NN algorithm, the nearest neighbor algorithm, and we will sketch a proof of Stone‘s theorem: the k-NN classifier is universally consistent.

Links

• Poster
• Seminar Geometrie

Letztmalig verändert: 06.11.2018, 15:50:53