After a successful beta run, we are very excited to open this course to the public for the first time. The course will be run online in an interactive environment with plenty of contact time.
The theory of this course includes topics on:
- Machine learning basics
- Decision trees incl. random forest
- Variable selection in a variety of methods
- Model assessment - including under/over fitting discussions
- Gradient boosting
The course practical sessions will focus on the following topics:
- Model assessment
- Linear models
- Decision Trees
- Bagging Random Forests & Gradient Boosting
- Variable Selection
This course has time for plenty of active discussion and reflection. We encourage you to bring your own ML ideas/data problems to discuss on the last day.
- This course requires prior knowledge of R. Places are extremely limited and will be offered based on the answers from the registration form.
- Fees are £500 for academic delegates, £700 for delegates from public institutions (not academic). Industry delegates may submit an application and will be quoted in individual basis.
- If you are a delegate from the University of Liverpool you can access student bursaries. You have to submit an application to the bursary together with your registration by the 11th April. Link here.
What did our delegates have to say about this course?
This course was extremely useful in particular the help that Dan Green provided creating a dummy dataset to mimic my research data where I could see and discuss directly applicable options to my own research. UoL PhD student (S.M) verbal feedback (not verbatim)
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