Title: Quiz Ch 8
Course: Machine Learning Security - Winter WC > Section: Unit 8

Q: Which method splits the training set into mini-batches?
- Incremental PCA
- Random projection
- LLE
- Randomized PCA
A: Incremental PCA

Q: Which method does not rely on projection?
- LLE
- Randomized PCA
- Incremental PCA
- Random projection
A: LLE

Q: Which statement is true for high-dimension hypercubes?
- Most points are extreme along some dimension
- Few points are near a border
- Most pairs of points are close together
- Predictions are more reliable than in lower dimensions
A: Most points are extreme along some dimension

Q: What process makes it possible to visualize data?
- Reduce it to two dimensions
- Remove border pixels
- Combine neighboring pixels together
- Perform lengthy calculations
A: Reduce it to two dimensions

Q: What condition does PCA use to choose the best axis?
- Maximum variance
- Minimum variance
- Simplest decision boundary
- Minimum error
A: Maximum variance