Review:
Unsupervised Learning
overall review score: 4.2
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score is between 0 and 5
Unsupervised learning is a type of machine learning where the algorithm learns patterns from data without labels or guidance from a teacher.
Key Features
- Clustering
- Anomaly detection
- Dimensionality reduction
Pros
- Can uncover hidden patterns in data
- Does not require labeled training data
- Useful for exploratory data analysis
Cons
- Can be difficult to interpret results
- May generate inaccurate or biased results