Starts on

Ends on

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 Course

Host Institution
Université Côte d'Azur

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