Back to ListModel Selection and Resampling Methods
Lecturer
Marco Lorenzi,
Content and organization
- Critically assess the performance of the model on a specified task through cross validation and the evaluation of information criteria
- Identify and prevent the sources of assessment bias
- Create your own benchmark for a variety of modeling problem
- Identify modeling alternatives and evaluation strategies
- Visualize and present performances across models
- Understand the basis of theoretical approaches to model selection
Course Type
AI PhD Curriculum
Host Institution
Université Côte d'Azur
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