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Hyperparameter Tuning in R

Dr. Shirin Elsinghorst

Senior Data Scientist

What you've learned in this course

  • What hyperparameters are

  • How they are different from model parameters

  • And why to tune them

  • How tuning works in three R packages:

  • caret
  • mlr
  • h2o
Hyperparameter Tuning in R

Terms you can understand and apply

  • Cartesian Grid Search

  • Random Search

  • Adaptive Resampling

  • Automatic Machine Learning

  • Evaluating tuning results with performance metrics

  • Stopping criteria

Hyperparameter Tuning in R

How you can use this knowledge

  • Find best hyperparameter set for your models

  • Compare and contrast R packages => favorite

Where to go from here?

Hyperparameter Tuning in R

Thank you and have fun!

Hyperparameter Tuning in R

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