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Exam AWS Certified Machine Learning Engineer - Associate MLA-C01 All Questions

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Exam AWS Certified Machine Learning Engineer - Associate MLA-C01 topic 1 question 63 discussion

Exam question from Amazon's AWS Certified Machine Learning Engineer - Associate MLA-C01
Question #: 63
Topic #: 1
[All AWS Certified Machine Learning Engineer - Associate MLA-C01 Questions]

A company is building a deep learning model on Amazon SageMaker. The company uses a large amount of data as the training dataset. The company needs to optimize the model's hyperparameters to minimize the loss function on the validation dataset.
Which hyperparameter tuning strategy will accomplish this goal with the LEAST computation time?

  • A. Hyperband
  • B. Grid search
  • C. Bayesian optimization
  • D. Random search
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Suggested Answer: A 🗳️
by GiorgioGss at Nov. 28, 2024, 8:12 a.m.
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Saransundar
1 month ago
Selected Answer: A
A. Hyperband: Efficient & best --> Right answer B. Grid Search: Exhaustive and tries all combos C. Bayesian Optimization: Smart with best combination D. Random Search: Random
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GiorgioGss
1 month, 1 week ago
Selected Answer: A
https://aws.amazon.com/blogs/machine-learning/amazon-sagemaker-automatic-model-tuning-now-provides-up-to-three-times-faster-hyperparameter-tuning-with-hyperband/ "efficient resource utilization and a better time-to-convergence."
upvoted 1 times
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