This course explores regularized linear regression models for the task of prediction and feature selection. Students will be able to handle very large sets of features and select between models of various complexity. and will also analyze the impact of aspects of your data -- such as outliers -- on selected models and predictions.
|Instructor:||Professor Carlos Guestrin|
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