Course dates
Course overview
The course will cover a number of methods for both prediction and classification problems using both supervised and unsupervised machine-learning techniques in R.
Machine learning is a branch of computer science that studies the design of algorithms that can learn. This course will allow you to get to grips with machine learning through the use of R in order to address problems and discover methods for the prediction and classification problems.
Designed for people who have either completed our Introduction to R course or who have experience using it, you’ll use supervised and unsupervised machine-learning techniques and apply them to a variety of real-world datasets, such as house price data or demographic data.
Throughout the course, you’ll learn the following techniques:
Supervised learning:
- Classification: Decision trees, logistic regression
- Numeric prediction: Regression trees, linear regression
Unsupervised learning:
- Pattern discovery: Association rules
- Clustering: K-means clustering
By the end of the course, you’ll have built a library of re-usable code and understand how to solve more common problems.
For this course, you’ll need some basic experience with R, be able to conduct simple statistical analysis. You also have the option to bring your own dataset if you have it.
On this course, we want you to have as much hands-on experience as possible. We’ll focus on teaching you to apply machine-learning techniques to data, rather than focusing on the more theoretical points. However, we will point you toward online content that will help you with the more theoretical side and prepare you for any future courses you decide to go on.
Fees
£495Booking information
As a University, we want to give as many people access to our courses as possible. There are a number of discounts that can help you, find out more below:
- 10% discount when you enrol for more than one of our short courses at the same time.
- 20% discount for UK students
- 25% discount for members of the UK Law and Society Association (UKLSA)
- If 5 people register from the same institution, the fifth place is free.
- If you’re a Goldsmiths’ student, member of staff and alumni, you can email us for current discounts.
As a University, we are able to offer our courses at minimum prices, and free of VAT - to make knowledge available to as wide audience as possible.
To find out about our refund policy, go to our AIR courses main page
Disability Support
We’re committed to providing reasonable teaching adjustments for students with disabilities. In order to provide an assessment and plan appropriate support, we need as much notice as possible, in some cases, this can be up to 3 months.
If you’re planning to or have already booked a place on this short course, please contact the Goldsmiths Disability Team (disability@gold.ac.uk) as soon as possible.
Book now
Enquiries
If you have any questions about this course please contact air (@gold.ac.uk) or call +44 (0)20 7078 5468.
For information on our upcoming short courses please sign up to our mailing list.
Location
Goldsmiths, University of London
Tutor information
Dr Will Lawrence
The course is directed by Dr Will Lawrence, who completed his PhD at the Department of Electronics and Computer Science at the University of Southampton, and who has a background in psychology. Will has rich experience in delivering training in both Python and R, to diverse audiences.
