Machine Learning Advanced Quiz 2
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Advanced Quiz 2
1. Which method is used for dimensionality reduction in non-linear data?
t-SNE
Linear Regression
Logistic Regression
2. What is the purpose of the softmax function?
To convert logits to probabilities in multi-class classification
To regularize neural networks
To reduce dimensionality
3. Which of these is a method for hyperparameter optimization?
Bayesian Optimization
Feature Scaling
Dropout
4. What is a common challenge when training GANs (Generative Adversarial Networks)?
Mode collapse
Vanishing gradient
Exploding gradient
5. Which of the following is a method for feature importance in tree-based models?
Gini Importance
K-Means
Gradient Clipping
6. What is the main purpose of early stopping?
To prevent overfitting by stopping training when validation error increases
To increase model complexity
To reduce training data size
7. Which loss function is commonly used for binary classification?
Binary Cross-Entropy
Mean Squared Error
Categorical Cross-Entropy
8. What does the term "attention mechanism" refer to in neural networks?
A method to focus on relevant parts of the input
A regularization technique
A type of optimizer
9. Which of the following is true about convolutional layers?
They extract spatial features from data
They are used only for tabular data
They always increase the number of features
10. What is the main advantage of using residual connections in deep networks?
They help prevent vanishing gradients
They reduce model size
They increase overfitting
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