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Introduction to Machine Learning in R

 
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RSS training

From Thursday 01 March 2018 -  09:30am
To Friday 02 March 2018 - 05:00pm

 
Location Royal Statistical Society, 12 Errol Street, London EC1Y 8LX

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.

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Organising Group(s) Royal Statistical Society