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What is the main difference between supervised and unsupervised learning?
What is the main difference between supervised and unsupervised learning?
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Practice Questions
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What is the main difference between supervised and unsupervised learning?
Supervised learning uses labeled data, unsupervised does not
Unsupervised learning is faster than supervised learning
Supervised learning is only for classification tasks
Unsupervised learning requires more data
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The main difference is that supervised learning uses labeled data for training, while unsupervised learning works with unlabeled data.
Questions & Step-by-step Solutions
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Q
Q: What is the main difference between supervised and unsupervised learning?
Solution:
The main difference is that supervised learning uses labeled data for training, while unsupervised learning works with unlabeled data.
Steps: 4
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Step 1: Understand that supervised learning means we have data that is already labeled.
Step 2: In supervised learning, we use this labeled data to teach the model what to predict.
Step 3: Now, understand that unsupervised learning means we have data that is not labeled.
Step 4: In unsupervised learning, the model tries to find patterns or groupings in the data without any guidance.
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