EXIN BCS ML Award Practice Questions - EXIN BCS Machine Learning Award Exam

What is the primary distinguishing characteristic of supervised learning compared to unsupervised learning?

Supervised learning algorithms are trained using datasets that include labeled target outputs. Supervised learning algorithms do not require input feature data during model training. Supervised learning algorithms only process unlabelled continuous numerical vectors. Supervised learning algorithms operate exclusively through environmental reward signals.

Correct Answer:

Supervised learning algorithms are trained using datasets that include labeled target outputs.

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