Match List I with List II and select the correct answer using the code given below the lists : Code :List I
(AI/ML Concept) List II
(Description)a. Recommendation Engine i. Trial-and-error learning b. Deep Learning ii. Personalized content suggestion c. Supervised Learning iii. Neural network-based learning d. Reinforcement Learning iv. Labelled data for prediction and classification
a-ii, b-iii, c-iv, d-i
Each concept in List I is defined by how the system learns, so pairing follows from what kind of feedback each one uses.
| Concept | Description and why |
| a. Recommendation Engine | ii. Personalized content suggestion — it ranks items for one user from that user's history and from similar users |
| b. Deep Learning | iii. Neural network-based learning — it stacks many layers of artificial neurons to learn features automatically |
| c. Supervised Learning | iv. Labelled data for prediction and classification — the training set carries the correct output for each input |
| d. Reinforcement Learning | i. Trial-and-error learning — an agent acts, receives reward or penalty, and improves its policy over time |
Reading the pairs in order gives a-ii, b-iii, c-iv, d-i.
Hence, the answer is a-ii, b-iii, c-iv, d-i.
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