Chapter 8

What is unsupervised learning?

• Learning from labeled data

• Learning with human supervision

• Learning patterns from unlabeled data

• Learning from test data only

Which of the following is a common task in unsupervised learning?

• Regression

• Clustering

• Classification

• Prediction

What does clustering try to do?

• Separate data into random groups

• Group similar data points together

• Assign labels to data

• Predict future values

Which algorithm is commonly used for clustering?

• K-Means

• Naive Bayes

• Decision Tree

• Logistic Regression

What is dimensionality reduction?

• Adding features to a dataset

• Reducing the number of data points

• Reducing the number of features or variables

• Deleting the dataset

Which of these is NOT an example of unsupervised learning?

• Customer segmentation

• Document clustering

• Classification of emails as spam or not spam

• Anomaly detection

Which of the following is a challenge in unsupervised learning?

• Too many labels

• Lack of ground truth for evaluation

• Overfitting

• Training too quickly

What is the goal of anomaly detection?

• Grouping items

• Identifying typical behaviors

• Finding unusual or rare data points

• Summarizing data

What type of data is used in unsupervised learning?

• Labeled data

• Data with output variables

• Unlabeled data

• Only images

What is an example of unsupervised learning in the real world?

• Predicting house prices

• Face recognition

• Grouping news articles by topic

• Classifying emails