What is the difference between supervised and unsupervised learning?
What is the difference between supervised and unsupervised learning?
Ask by Harry
Updated 25 Apr 2024
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.