Podcast
Questions and Answers
What is the primary disadvantage of the Nearest Neighbor classifier?
What is the primary disadvantage of the Nearest Neighbor classifier?
- Fast training and fast prediction
- Slow training and slow prediction
- Fast training but slow prediction
- Slow training but fast prediction (correct)
In K-Nearest Neighbors, what is the purpose of taking a majority vote from the K closest points?
In K-Nearest Neighbors, what is the purpose of taking a majority vote from the K closest points?
- To select a random point
- To calculate the average distance
- To find the furthest neighbor
- To classify the test image (correct)
What are hyperparameters in machine learning?
What are hyperparameters in machine learning?
- Test data used for validation
- Choices about the data that are set rather than learned (correct)
- Results of cross-validation
- Parameters automatically learned by the model
What is the major drawback of always choosing K = 1 when setting hyperparameters?
What is the major drawback of always choosing K = 1 when setting hyperparameters?
What is the purpose of cross-validation in machine learning?
What is the purpose of cross-validation in machine learning?
What is the main challenge in developing an image classifier compared to sorting a list of numbers?
What is the main challenge in developing an image classifier compared to sorting a list of numbers?
What is the first step in using machine learning to train an image classifier?
What is the first step in using machine learning to train an image classifier?
What is the role of the 'Nearest Neighbor' method in image classification?
What is the role of the 'Nearest Neighbor' method in image classification?
In the CIFAR10 dataset, how many testing images are included for evaluation?
In the CIFAR10 dataset, how many testing images are included for evaluation?
Why is the training process for image classifiers considered time-consuming?
Why is the training process for image classifiers considered time-consuming?
