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Which of the following is a challenge in AutoML?

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What is one reason why training a single ML model can be expensive?

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What is a challenge in optimization with AutoML?

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Which of the following is not a challenge in AutoML?

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Which AutoML task involves finding the optimal values for parameters such as learning rate, number of layers, and activation functions?

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Which of the following AutoML tools is considered to be less good enough these days in comparison to others?

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What does Meta Learning involve in the context of AutoML?

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In AutoML, what does the interdependence between the algorithm and the hyperparameters imply?

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in AutoML, CASH adds an element that also checks what is the best model to use, not just which hyperparameters to choose

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What is the main goal of finding a heuristic in the Black Box Approach for HPO/CASH?

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