Here I breakdown the difference between unsupervised and supervised learning, and the most known algorithms used in each.
August 17, 2023
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2
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Unsupervised Learning is learning from unlabelled data to identify hidden patterns
In supervised learning, algorithms are trained using labeled data, and trained on that basis, the algorithm can predict an output for instances where this label is not known.
There are mainly 2 types of supervised learning algorithms:
- Regression, where your output variable is a continuous variable.
- Classification, where your output variable is categorical.