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About Supervised Vs Unsupervised Learning What S The Difference IBM 24062021 035331pm
The document discusses the differences between supervised and unsupervised learning. Supervised learning uses labeled training data to predict outcomes, while unsupervised learning discovers hidden patterns in unlabeled data. The main difference is supervised learning relies on labeled input/output data, whereas unsupervised learning does not. Choosing an approach depends on the structure, volume and labeling of data as well as the problem to be solved.
Detailed Information
| Author: | ['Muhammad Abdul Rehman Mustafa'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 9 |
| Language: | English |
| Format: | |
| Price: | FREE |
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