Machine Learning: In the Trenches - Brenda Gillespie and Chris Andrews, University of Michigan
This talk will cover several practical aspects of machine learning, including
- the feasibility of machine learning with correlated outcome data, such as paired eyes,
- assessing variable importance with LASSO or Elastic Net in the presence of multi-collinearity among the covariates
- the option of combining features from different machine learning methods to improve prediction.
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About the Presenters
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