Next Steps in Statistical Learning (Data Mining II)
Date:
05/02/2018 - 06/02/2018
Organised by:
Lancaster University
Presenter:
Professor Brian Francis
Level:
Intermediate (some prior knowledge)
Contact:
Angela Mercer, 01524 593064, psc@lancaster.ac.uk
Map:
View in Google Maps (LA1 4YF)
Venue:
Department of Mathematics and Statistics
C/o Postgraduate Statistics Centre
Lancaster University
Lancaster
Description:
This course develops the concepts of statistical learning introduced in the first course on Statistical Learning.
It covers both clustering (unsupervised learning) and advanced prediction (supervised learning) methods.
The focus will be on methods which have a statistical interpretation, so model-based clustering through latent class analysis will be covered along with more heuristic methods. Real life examples are used, and there is time for practical use of the methods described using the R and Latent Gold packages.
Cost:
External from industry/Commerce, £540 and External from academic institution/public sector/charity staff £460; External postgraduate student £300
Website and registration:
www.lancaster.ac.uk/maths/postgraduate/short-courses/
Region:
North West
Keywords:
Data Mining
Related publications and presentations: