Gauging a model's correct level of complexity is an issue of preventing both underfitting (the model is too simplistic) and overfitting (the model is too specific to the dataset). In this project you will explore the idea of training several models in a hierarchy of complexity at the same time, binding/chaining the higher-order models to outputs of the lower-order models.
Supervisors
Primary Supervisor: Philipp Wacker
Key qualifications and skills
Data Science, Mathematics, Statistics, Machine Learning
Does the project come with funding
No - Student must be self-funded
Final date for receiving applications
Ongoing
How to apply
Apply by email to primary supervisor
Keywords
Data Science, Mathematics, Statistics, Machine Learning
