Some common techniques in data mining include clustering, classification, association rule mining, and regression analysis. Improved Decision-Making: Data mining provides businesses with valuable ...

This course will start from the classical statistical methodology of linear regression and then build on this framework to provide an introduction to machine learning and data mining methods from a ...

Topics to be covered include logistic regression, data mining,regression prediction, classification prediction, artificial neural networks, sensitivity analysis, information fusion, and combining ...

In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial regression model, ...

We are working with various pharmaceutical companies on approaches to prioritise drug targets using available data. Our initial work has focused ... and the SemMedDB Database extracted using the ...

This course will start from the classical statistical methodology of linear regression and then build on this framework to provide an introduction to machine learning and data mining methods from a ...