Fundamentals of Machine Learning
Date:
24/10/2017
Organised by:
Royal Statistical Society
Presenter:
Doug Ashton & Chris Muselle
Level:
Entry (no or almost no prior knowledge)
Contact:
Tessa Pearson, 020 7614 3947, training@rss.org.uk
Description:
This is a one day course covering the fundamentals of machine learning and the methodology for applying them 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 through the course so as to gain hands on experience in using the methods presented.
Topics Covered
- Machine Learning
- Classification and Prediction
- Feature Engineering
- Cross Validation
- Hyper-parameter Tuning
- Random Forests
- Gradient Boosting
- Support Vector Machines
Cost:
360+VAT
Website and registration:
https://events.rss.org.uk/rss/101/home
Region:
Greater London
Keywords:
Technology, ICT and Software (other), R software, machine learning
Related publications and presentations:
Technology
ICT and Software (other)