AWS Certified Machine Learning Engineer - Associate MLA-C01 — Topic 1 Question 213

Question

An ML engineer decides to use Amazon SageMaker AI automated model tuning (AMT) for hyperparameter optimization (HPO). The ML engineer requires a tuning strategy that uses regression to slowly and sequentially select the next set of hyperparameters based on previous runs. The strategy must work across small hyperparameter ranges. Which solution will meet these requirements?

Accepted Answer

Correct answer: C. The correct answer is C. Option C: Bayesian optimization.

AWS Certified Machine Learning Engineer - Associate MLA-C01 — Question 213