Machine learning using R (MLUR01)
8 April 2019 - 12 April 2019
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.
Full details can be found using the link below