Crash Course-AI#6

What is the main difference between supervised and unsupervised learning?

• Supervised learning uses labeled data, while unsupervised learning does not.

• Unsupervised learning uses labeled data, while supervised learning does not.

• Supervised learning is only for humans, while unsupervised learning is only for computers.

• Unsupervised learning requires a teacher, while supervised learning does not.

In the context of unsupervised learning, what is clustering?

• Training a model with labeled data.

• Grouping objects based on their similarities.

• Labeling data with the help of a teacher.

• Predicting future data points.

What is the first step in the K-means clustering algorithm?

• Specifying the number of clusters to look for.

• Correcting the model's predictions.

• Calculating the mean of each cluster.

• Labeling each data point randomly.

What is representation learning in the context of unsupervised learning?

• Grouping objects based on their colors.

• Predicting the next frame in a video.

• Creating a representation that tells us if two images are similar.

• Learning to label data with the help of a teacher.

What is an autoencoder used for in unsupervised learning?

• Reconstructing the original image from its representation.

• Predicting future data points.

• Grouping objects based on their similarities.

• Labeling data with the help of a teacher.