What is the main difference between supervised and unsupervised learning?
Correct Answer: Supervised learning uses labeled data, unsupervised learning uses unlabeled data.
- 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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