Training and Events
Introduction to Machine Learning in R
|Royal Statistical Society|
Dr Colin Gillespie or Dr Jamie Owen
20/10/2020 - 21/10/2020
12 Errol Street, London
View in Google Maps (EC1Y 8LX)
This is a 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.
Following this course the attendees will:
Machine Learning can be applied to data in a whole range of fields from Finance to Pharmaceutical, Retail to Marketing, Sports to Travel and many, many more! This course is aimed at anyone interested in applying machine learning methods to their data in order to: gain deeper insight, make better decisions or build data products
Intermediate (some prior knowledge)
Ranges from £588-£816 inc. VAT
Website and registration
R, Machine learning analysis
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