Databricks Certified Machine Learning - Associate
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Ultimate access to all questions.
Explain how hyperparameter tuning is automated in AutoML. Discuss the methods used for hyperparameter optimization and how they impact the performance and efficiency of the model training process.
A
Grid search, random search, and Bayesian optimization.
B
Genetic algorithms, simulated annealing, and particle swarm optimization.
C
Gradient descent, Newton's method, and conjugate gradient.
D
Linear programming, dynamic programming, and branch and bound.