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Data Science & Analytics Questions - Data Science

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Which distributed computing framework is most suitable for iterative machine learning algorithms?
Data Science & Analytics Data Science Mcq
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What is the primary benefit of using attention mechanisms in deep learning models?
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Meta-learning algorithms can adapt to new tasks with minimal training data.
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The ______ technique is used to handle catastrophic forgetting in continual learning.
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Which approach is most effective for handling non-stationary environments in reinforcement learning?
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What is the main advantage of using variational autoencoders over traditional autoencoders?
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Graph neural networks can handle non-Euclidean data structures effectively.
Data Science & Analytics Data Science True_false
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The ______ algorithm is used for approximate inference in probabilistic graphical models.
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Which technique is most suitable for handling missing data in longitudinal studies?
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What is the primary challenge in implementing federated learning systems?
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Adversarial training can improve model robustness against adversarial attacks.
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The ______ method is used to detect and handle data drift in production ML systems.
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Which approach is most effective for handling class imbalance in deep learning?
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What is the main benefit of using neural architecture search (NAS)?
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Quantum machine learning algorithms can provide exponential speedup for certain problems.
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