What is the difference between supervised and unsupervised learning?

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Bhavesh Badani · Answer

The distinction between supervised learning and unsupervised learning :- Supervised Learning involves training an algorithm using a labeled dataset. Imagine you have a teacher guiding you through a subject. In this case, the input data is paired with corresponding output labels. On the other hand, Unsupervised Learning operates without labeled data. There’s no teacher correcting the algorithm; it explores the data independently. The goal here is to uncover patterns, structures, or relationships in the data. Examples include: In summary, supervised learning relies on guidance (like having a teacher), while unsupervised learning explores data without explicit instructions.

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What is the difference between supervised and unsupervised learning?

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