AIF-C01 Question 1
Single answerA retail company wants to implement an AI-driven recommendation system for its online store. The team is discussing basic AI concepts and terminologies to decide the type of machine learning model they should use. Which of the following best describes the concept of 'Supervised Learning'?
- A
A type of machine learning where the model is trained on labeled data to make predictions or classifications.
- B
A type of machine learning where the model identifies patterns in unlabeled data without human intervention.
- C
A type of machine learning where the model learns by interacting with an environment to maximize a reward.
- D
A rule-based system where outcomes are determined by hardcoded logic and predefined instructions.
Show answer and explanation
Correct answer: A
Explanation
Supervised learning is a core concept in AI where models are trained on labeled data to predict or classify outcomes. It is distinct from unsupervised learning, reinforcement learning, or rule-based systems, and is commonly used for tasks like recommendation systems, spam detection, and image classification.
- A. Correct.
This is the correct description of supervised learning, where the model is trained on labeled input-output pairs to make accurate predictions.
- B. Incorrect.
This describes unsupervised learning, not supervised learning. Unsupervised learning deals with finding patterns or clusters in unlabeled data.
- C. Incorrect.
This describes reinforcement learning, not supervised learning. Reinforcement learning trains a model through feedback from its environment to maximize a reward.
- D. Incorrect.
This describes traditional rule-based systems, which are not considered machine learning or AI.