A seed-bank desk has labeled germination outcomes, a drawer of unla…

Question

A seed-bank desk has labeled germination outcomes, a drawer of unlabeled packet photos, and a robot arm that can only be scored after it places a packet. How should the tester pick the ML form?

Accepted Answer

From the nature of the data and the task: supervised, unsupervised, or reinforcement learning — not from a vendor algorithm brand. — Pick the ML form from the nature of the data and the task. Labeled germination outcomes are supervised. Unlabeled packet photos are unsupervised. A robot arm scored only after it places a packet is reinforcement. A vendor algorithm brand is not the picker.

Answer

From a vendor algorithm brand the syllabus treats as a product exam.

Answer

Always supervised, because any seed bank is a labeled classifier.

Answer

Always reinforcement learning, because a photo drawer is a reward.

A seed-bank desk has labeled germination outcomes, a drawer of unlabeled packet photos, and a robot arm that can only be scored after it places a packet. How should the tester pick the ML form?

Short Explanation

Full Explanation