Can you explain grid search and random search?
An example of an AI chatbot conversation about hyperparameter tuning methods in machine learning.
Can you explain grid search and random search?
Sure! Grid search and random search are techniques used for hyperparameter tuning in machine learning.
What is grid search specifically?
Grid search is a method that exhaustively searches through a specified subset of hyperparameters, evaluating all possible combinations.
And how does random search differ from that?
Random search, on the other hand, samples a fixed number of hyperparameter combinations randomly, which can be more efficient.
Which one is generally better to use?
It depends on the situation! Grid search is thorough but can be time-consuming, while random search can find good parameters faster.
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