Introduction to Statistical Learning (Data Mining I)

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Introduction to Statistical Learning (Data Mining I)
Date	22/01/2018 - 23/01/2018
Address	Department of Mathematics and Statistics C/o Postgraduate Statistics Centre Lancaster University Lancaster
Map	View in Goolge Maps (LA1 4YF)
Description	This course introduces the concepts of statistical learning focusing on predictive models. It covers modern statistical modelling methods, including logistic regression, multinomial regression, and classification and regression trees, as well as assessment methods such as prediction error, deviance and AUC. The focus will be on validation and cross-validation methods, to ensure that selected models are not overfitting the data. Real life examples are used, and there is time for practical use of the methods described using the R package.
Organiser/Chair	Professor Brian Francis
Institution	Lancaster University
Level	Entry (no or almost no prior knowledge)
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/
Contact	Angela Mercer 01524 593064, psc@lancaster.ac.uk
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Introduction to Statistical Learning (Data Mining I)