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Machine Learning using R and Concerto (2 days)

When Jun 14, 2017 10:30 AM to
Jun 15, 2017 05:30 PM
Where Cambridge, UK
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Machine Learning using R and Concerto: an introduction for social and behavioural scientists

This practical course will teach the fundamentals of statistical and machine learning using the flexible R programming environment. Users will be able to train their own text classification model and deploy it on the web as a tool for sentiment analysis. The course does not assume any experience in machine learning, statistical techniques or R programming; but those with experience in these domains will still be able to find challenging content and develop their knowledge under the supervision of the experienced University of Cambridge Psychometrics Centre staff.  

LocationDates and TimeFeeTutors

Craik Marshall Building,
Department of Psychology,
Downing Site
Cambridge CB2 3EB

MAP

June 14th and June 15th, 2017

10.30 to 17.30
on both days.
(Wednesday and Thursday)

 

Business: £600 plus VAT
Academic: £400 plus VAT
Student: £300 plus VAT

Click on above links to pay now with Credit Card

Aiden Loe and
Dr Chris Gibbons

Schedule

Day 1: Introduction to Machine Learning using R

  • Cleaning and organising data
  • Feature extraction
  • Wordclouds
  • Training and evaluation of algorithms
  • Comparing model performance side-by-side

Day 2: Practical implementation of Machine Learning 

  • Types of machine learning
  • High-dimensional spaces
  • Commonly used techniques including generalised linear models, support vector machines and neural networks
  • Feature selection
  • Text mining challenges including polysemy, adverbs and contronyms
  • Assessing algorithm performance using accuracy, sensitivity, and specificity
  • Ensemble learning and nFold validation
  • Release your trained algorithm into a web-based application using Concerto

Book early to avoid disappointment

Check out what our delegates say about our courses

Note: Earlier courses were held in Kuala Lumpur, Warsaw, Vienna, Sofia, Beijing, Brazil, Cambridge and Istanbul.