MLA-C01 · Question #226
MLA-C01 Question #226: Real Exam Question with Answer & Explanation
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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?
Options
- AGrid search
- BRandom search
- CBayesian optimization
- DHyperband
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