Ma

An introduction to machine learning (3/3)

date
18.12.2018 
time
03:00 PM - 04:00 PM 
speaker
Alessandro Carderi 
affiliation
TU Dresden, Institut für Geometrie 
language
en 
main topic
Mathematics: general
host
Prof. Dr. A. Thom 
abstract

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.

 

Last update: 06.11.2018 14:51.

venue 

TUD Willers-Bau (WIL A 120) 
Zellescher Weg 12-14
01069 Dresden
homepage
https://navigator.tu-dresden.de/etplan/wil/00 

organizer 

TUD Mathematik
Willersbau, Zellescher Weg 12-14
01069 Dresden
telefon
49-351-463 33376 
homepage
http://tu-dresden.de/mathematik 
Scan this code with your smartphone and get directly this event in your calendar. Increase the image size by clicking on the QR-Code if you have problems to scan it.