Question

The agent observes input-output pairs and learns a function that this learning maps from input to output. For example, the inputs could be camera images, each one accompanied by an output saying "bus" or "pedestrian," etc. This type of learning is known as:

• A. Supervised
• B. Unsupervised
• C. Reinforcement
• D. Semi-supervised

Hint:

In supervised learning, the model is trained on labeled data where both inputs and outputs are provided.

Answer 1

The Correct Option is A

Step 1: Define Learning Types.
Supervised learning involves training an agent with input-output pairs that have predefined labels. The objective is for the agent to derive a function that accurately predicts outputs from inputs.

Step 2: Evaluate Options.
- (A) Supervised: This is accurate, as supervised learning utilizes labeled input-output pairs for model training.
- (B) Unsupervised: This is incorrect. Unsupervised learning does not provide output labels.
- (C) Reinforcement: This is incorrect. Reinforcement learning involves an agent's interaction with an environment, guided by rewards or penalties.
- (D) Semi-supervised: This is incorrect. Semi-supervised learning employs a combination of labeled and unlabeled data.

Step 3: Determine the Correct Answer.
The correct designation is (A) Supervised.