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Which of the following is a challenge in AutoML?

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שאלה #132149

		Each dataset requires the same optimal ML designs
done		Each dataset potentially requires different optimal ML designs

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

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שאלה #132150

		Because datasets are small
		Because the mathematical relation between design decisions and performance is always known
done		Because we often need to try many configurations
		Because AutoML tools do not support ML users

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What is a challenge in optimization with AutoML?

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שאלה #132151

		Lack of available datasets
done		Optimization in highly complex spaces
		Each dataset requires the same optimal ML designs

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Which of the following is not a challenge in AutoML?

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שאלה #132152

		Each dataset potentially requires different optimal ML designs
		Training of a single ML model can be quite expensive
		The mathematical relation between design decisions and performance is often unknown
done		Optimization is straightforward and does not require exploration of complex spaces

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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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שאלה #132154

		Meta Learning
		Neural Architecture Search
done		Hyperparameter Optimization
		Model Training

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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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שאלה #132155

		auto-sklearn
		PyCaret
done		AutoKeras
		None of the above

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What does Meta Learning involve in the context of AutoML?

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שאלה #132156

		Optimizing the hyperparameters of machine learning models
done		Learning from previous model-building experiences to improve future model building
		Automatically generating new neural network architectures

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

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שאלה #132158

done		The choice of algorithm influences the selection of hyperparameters
		The algorithm used does not affect the choice of hyperparameters
		Hyperparameters are chosen independently of the selected algorithm
		Hyperparameters are fixed and do not vary based on the algorithm chosen

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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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שאלה #132159

done		True
		False

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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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שאלה #132204

done		To expedite the search process
		To increase the complexity of the algorithm
		To enhance the interpretability of the results

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