Machine Learning Advanced Quiz 4
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Advanced Quiz 4
1. Which of these is a method for model interpretability?
SHAP values
Batch Normalization
Pooling
2. What is the main characteristic of a support vector in SVM?
It lies closest to the decision boundary
It is always an outlier
It is the mean of all data points
3. Which of the following is a property of convolutional neural networks (CNNs)?
Weight sharing and local connectivity
Sequential memory
Tree-based structure
4. What is the main purpose of layer normalization?
Normalize inputs across features within a layer
Reduce the number of layers
Increase the number of parameters
5. Which of the following is a key concept in variational autoencoders (VAEs)?
Learning a probabilistic latent space
Using max pooling
Hard clustering
6. What is the main difference between bagging and stacking?
Stacking uses a meta-model to combine base learners; bagging averages predictions
Bagging is only for regression
Stacking requires neural networks
7. Which method is used to address data leakage?
Using pipelines for preprocessing and modeling
Increasing batch size
Reducing learning rate
8. What is the main idea behind reinforcement learning?
Learning by interacting with an environment to maximize reward
Learning from labeled data
Clustering data into groups
9. Which of the following is a property of the attention mechanism?
Assigns different weights to different input parts
Reduces the number of features
Increases overfitting
10. What is the main use of the Gated Recurrent Unit (GRU)?
Handling sequential data in RNNs
Reducing feature dimensionality
Clustering data
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