Answer-first summary for fast verification
Answer: All of the above
Azure Machine Learning supports various hyperparameter tuning techniques to help optimize the performance of AI models. These techniques include grid search (A), which exhaustively searches through a specified range of hyperparameters; random search (B), which samples hyperparameters randomly from a specified range; and Bayesian optimization (C), which uses a probabilistic model to select the most promising hyperparameters. Therefore, the correct answer is D, all of the above.
Author: LeetQuiz Editorial Team
Ultimate access to all questions.
You are developing an AI model using Azure Machine Learning and need to perform hyperparameter tuning to optimize the model's performance. Which of the following techniques can be used for hyperparameter tuning in Azure Machine Learning?
A
Grid search
B
Random search
C
Bayesian optimization
D
All of the above
No comments yet.