ITPEC FE Morning October 2020 Question 5
ITPEC FE Morning October 2020 — Question 5 of 80
Supervised Learning — identify the correct definition among ML paradigms.
Supervised learning trains a model on labeled data (input + correct output) to generalize to unseen data.
Why not others:
- (a) — describes unsupervised learning (clustering by statistical features, no labels)
- (b) — describes reinforcement learning (maximizing reward by rating actions)
- (c) — describes collaborative filtering (predicting actions from behavioral frequency data)
Key rule: Supervised = labeled training data (input → known output). Unsupervised = no labels. Reinforcement = reward/penalty feedback loop.
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