Machine Learning Advanced Quiz 3

1. Which technique is used to generate synthetic data for augmentation?

2. What does the "curse of dimensionality" refer to?

3. Which method is used for sequence-to-sequence modeling?

4. What is the main idea behind ensemble stacking?

5. Which of the following is a non-linear activation function?

6. What is the main use of dropout in neural networks?

7. Which metric is best for evaluating a multi-class classification problem?

8. What is the main challenge in reinforcement learning?

9. Which of the following is a property of Markov Decision Processes?

10. What is the main purpose of gradient clipping?