Foundations

The Foundations Workstream aims to provide a path to gaining competency in common statistical and machine learning techniques by:

• creating a roadmap of methods to learn
• gathering together relevant learning materials and,
• developing notebooks in R and Python with example code, where the methods are applied to reserving data sets.

Our workstream page contains a list of useful resources as well as links to our posts, which are reproduced here.