How does unsupervised learning compare to supervised learning?
Supervised learning uses labeled data to train models, while unsupervised learning works with unlabeled data to find patterns.
Can you give examples of each type of learning?
Sure! An example of supervised learning is email spam detection, while clustering customers based on purchasing behavior is unsupervised.
What are the advantages of using unsupervised learning?
Unsupervised learning can discover hidden patterns in data without needing labels, making it useful for exploratory analysis.
Are there any limitations to unsupervised learning?
Yes, it can be challenging to interpret the results, and the lack of labels can lead to less accurate models.
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