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Machine learning. Supervised and unsupervised learning scenarios

What is the main difference between supervised and unsupervised learning?
Supervised learning requires labeled data, while unsupervised learning does not
Supervised learning uses neural networks, while unsupervised learning uses decision trees
Supervised learning is used for classification, while unsupervised learning is used for regression
Supervised learning requires a large dataset, while unsupervised learning can work with small datasets
Which of the following is an example of supervised learning?
Image classification
Clustering
Anomaly detection
Regression analysis
Dimensionality reduction
In unsupervised learning, which technique is used to group similar data points together?
Clustering
Classification
Regression
Dimensionality reduction
Which type of learning would be most suitable for predicting housing prices based on historical sales data?
Supervised learning
Unsupervised learning
Reinforcement learning
Semi-supervised learning
What is an example of a real-world application of machine learning?
Fraud detection in financial transactions
Playing chess against a computer
Creating digital art
Sending automated emails
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