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Questions and Answers
What is the primary goal of unsupervised learning?
What is the primary goal of unsupervised learning?
- To learn patterns and structures from input data with explicit supervision
- To predict the values of the target attribute in future data instances
- To explore and uncover underlying relationships and groupings in the data (correct)
- To discover patterns in the data that relate data attributes with a target attribute
What distinguishes unsupervised learning from supervised learning?
What distinguishes unsupervised learning from supervised learning?
- Supervised learning involves finding inherent patterns on its own
- Supervised learning explores intrinsic structures in the data
- Unsupervised learning has no labeled target variables (correct)
- Unsupervised learning predicts values of the target attribute
What does unsupervised learning aim to learn from input data?
What does unsupervised learning aim to learn from input data?
- Inherent patterns with labeled target variables
- Patterns and structures without explicit supervision (correct)
- Target attribute values for future instances
- Data attributes related to a target attribute
What is the key characteristic of unsupervised learning?
What is the key characteristic of unsupervised learning?
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What is the main focus of unsupervised learning?
What is the main focus of unsupervised learning?
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