Imagine a scenario where an online learning platform wants to categorize its vast number of courses into different topics. The platform doesn't have predefined categories but wants the algorithm to determine them based on course content. This task would best be accomplished using which learning approach?
- Clustering
- Reinforcement Learning
- Supervised Learning
- Unsupervised Learning
Unsupervised learning is the most suitable approach. Here, the algorithm should discover inherent structures or clusters within the courses without any predefined categories, making unsupervised learning a fitting choice.
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