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Differences between supervised and unsupervised learning

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Discuss the two main types of learning paradigms in machine learning - supervised and unsupervised learning.
What are their fundamental attributes and processes?
What are the primary differences between the two?

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Solution Summary

This solution discusses the attributes and processes of supervised and unsupervised machine learning techniques while highlighting their differences. One source is included for further investigation of the topic.

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In machine learning, there are mainly two categories of learning techniques corresponding to the nature of the learning that takes place; supervised and unsupervised learning.

In supervised learning, an algorithm, model or technique is trained to learn a concept or rule using a number of known samples or examples. This is known as the ...

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