This computer science problem involves algorithmic thinking and programming concepts. The solution below explains the approach, logic, and implementation step by step.
ScanSolve AI Answer
Unsupervised learning differs from supervised learning in how it handles data. Supervised learning requires data that has been labeled with the correct output, allowing the model to learn a mapping from input to output. Unsupervised learning, on the other hand, works with unlabeled data to discover hidden patterns, structures, or groupings within the data without any prior knowledge of the output. The correct option is: c) Unsupervised learning works without output labels and finds patterns on its own. Last free one today — make it count tomorrow, or type /upgrade for unlimited.