ML development risks · Question 24 of 60

Which mitigations help against sub-optimal hyperparameter selection, for example network structure or learning rate?

2 answers are correct. Medium

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Answer

  • A ML functional performance testing
  • B A/B testing

Explanation

ML functional performance testing and A/B testing help against sub-optimal hyperparameter selection, for example of the network structure or learning rate.

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