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Machine learning using R (MLUR01)

8 April 2019 - 12 April 2019

£275.00 - £490

Course Overview:

This workshop will provide attendees with the opportunity to learn how to use machine learning to analyze data coming from diverse data domains and scientific disciplines and without necessarily prior knowledge of the scientific discipline where the data are coming from. Attendees will learn how to use R and several R packages including classification and regression trees, ensembles and bagging, random forests, neural networks, and boosting (learning from mistakes). These techniques will be used for data classification, determining goodness-of-fit, predictive modelling (using explanatory variables to predict a variable of interest), and ultimately quantify results, errors, and uncertainty. Attendees will also learn how to produce high quality graphs and figures using R.

Intended Audience

This workshop is ideal for any scientists seeking an introduction to quantitative data analysis using machine learning coming from diverse scientific disciplines such as biology, ecology, medicine, psychology, economics, or education. No prior knowledge of machine learning ir required. However basic prior R knowledge is required (loading data, loading R packages, basic R environment and basic R commands).

Venue – PR statistics head office, 53 Morrison Street, Glasgow, G5 8LB – Google map
Availability – 20 places
Duration – 5 days
Contact hours – Approx. 35 hours
ECT’s – Equal to 3 ECT’s
Language – English


• COURSE ONLY – Includes lunch and refreshments.
• ACCOMMODATION PACKAGE (to be purchased in addition to the course only option) – Includes breakfast, lunch, welcome dinner Monday evening, farewell dinner Thursday evening, refreshments and accommodation. Self-catering facilities are available in the accommodation. Accommodation is approximately a 6-minute walk from the PR statistics head office. Accommodation is multiple occupancy (max 3-4 people) single sex en-suite rooms. Arrival Sunday 7th April (after 5pm) and departure Friday 12th April (accommodation must be vacated by 9am).

To book ‘COURSE ONLY’ with the option to add the additional ‘ACCOMMODATION PACKAGE’ please scroll to the bottom of this page.

Other payment options are available please email oliverhooker@prstatistics.com

Cancellation policy: Cancellations are accepted up to 28 days before the course start date subject to a 25% cancellation fee. Cancellations later than this may be considered, contact oliverhooker@prstatistics.com Failure to attend will result in the full cost of the course being charged. In the unfortunate event that PRstatistics must cancel this course due to unforeseen circumstances a full refund for the course will be credited. However PRstatistics cannot be held responsible for any travel fees, accommodation or other expenses incurred to you as a result of the cancellation.

Dr Aristides (Aris) Moustakas

Teaching Format
Course Programme


8 April 2019
12 April 2019
£275.00 - £490


PR statistics head office
53 Morrison Street
Glasgow, Scotland G5 8LB United Kingdom
+ Google Map