Training and Events
Introduction to Statistical Learning (Data Mining I)
Professor Brian Francis
22/01/2018 - 23/01/2018
Department of Mathematics and Statistics
View in Google Maps (LA1 4YF)
Angela Mercer 01524 593064, firstname.lastname@example.org
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.
Entry (no or almost no prior knowledge)
External from industry/Commerce, £540 and External from academic institution/public sector/charity staff £460; External postgraduate student £300.
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