Explain the Bias-Variance Tradeoff.
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What Are Hyperparameters?
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Define Overfitting and how to prevent it.
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Explain Gradient Descent.
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What's the Difference Between Supervised and Unsupervised Learning?
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How Does a Recurrent Neural Network (RNN) Work?
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What Are Convolutional Neural Networks (CNNs)?
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Explain Transfer Learning.
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Describe the ROC Curve and AUC.
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What Are GANs (Generative Adversarial Networks)?
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