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: Understanding the learning types.
In supervised learning, the agent is given input-output pairs, where the output is labeled. The agent then learns a function that maps inputs to outputs.

Step 2: Analysis of options.
- (A) Supervised: Correct, in supervised learning, input-output pairs are used to train the model.
- (B) Unsupervised: Incorrect, in unsupervised learning, there are no output labels provided.
- (C) Reinforcement: Incorrect, reinforcement learning involves agents interacting with an environment and learning through rewards or punishments.
- (D) Semi-supervised: Incorrect, semi-supervised learning involves both labeled and unlabeled data.

Step 3: Conclusion.
The correct answer is (A) Supervised.