This professional development workshop will introduce you to using {tidymodels} for machine learning in R.

In this talk, I’ll describe ways that lecture materials can be adapted to include more engaging live-coding examples, whilst minimising the pain for both students and instructors alike.

In this talk, I’ll discuss skills and training to better support the increasing number of early career researchers who are required to submit code, develop R packages, and maintain and open source projects.

This talk will demonstrate rewriting functions in Rust, calling Rust functions from R, and show a comparison of speed when using Rust for vectorising operations in R.

Good data visualisation requires appreciation and careful consideration of the technical aspects of data presentation. In this session, you’ll learn different ways to make your visualisations more effective and engaging.

This two hour interactive workshop will introduce you to common models and concepts in machine learning, and how to to implement them using {tidymodels} in R.