What is the difference between supervised and unsupervised machine learning?
Supervised learning requires training labeled data. For example, in order to do classification (a supervised learning task), you’ll need to first label the data and need to train the model to classify data into your labeled groups. Unsupervised learning, in contrast, does not require labeling data explicitly.
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