Presenters: Doug Ashton

Level:Professional

CPD: 12 hours

This is two day course covering the application of machine learning methodology to real world analytics problems. The course outlines the stages involved in a machine learning analysis, and walks through how to perform them using the R programming language and the caret library.  Participants will be provided with exercises to complete in R so as to gain hands on experience in using the methods presented. 

The individual stages of: problem formulation, data preparation, feature engineering, model selection and model refinement will be walked through in detail giving participants a solid process to follow for any machine learning analysis. This includes methods for evaluating machine learning models in terms of a performance metric as well as assessing bias and variance.

This course has now reached capacity. We will next be running the course on 23 & 24 October 2018.