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Generative AI Certificate Q&A: Compare, recognize error then decide learning type

Question

You’re a preschool worker and you want to teach your class the letters in the alphabet. So you draw the letter “B” on the board. Then you ask the two-year-old students to find a block with that same letter. Some of the students correctly find the blocks with the letter “B”, but some of the students confuse the letter “B” with the letter “D.” So the incorrect students compare their block to the letter “B” on the board, recognize the error and then decide to get another block. What type of learning is this?

A. machine learning
B. reinforcement learning
C. supervised learning
D. unsupervised learning

Answer

C. supervised learning

Explanation

The answer is C. supervised learning.

Supervised learning is a type of machine learning where the model is trained on labeled data. This means that the data has been explicitly labeled with the desired output. For example, if you are trying to train a model to predict whether a customer will buy a product, you would need to provide the model with data that includes both the customer’s purchase history and whether or not they bought the product.

In the case of the preschool students, they are being trained to recognize the letter “B”. The teacher is providing them with labeled data, in the form of the letter “B” on the board, and the students are learning to associate that label with the correct block.

The incorrect students who confuse the letter “B” with the letter “D” are able to learn from their mistakes. They compare their block to the letter “B” on the board, recognize the error, and then decide to get another block. This is an example of supervised learning because the students are learning from labeled data.

The other answer choices are incorrect.

  • A. Machine learning is a broad term that encompasses both supervised and unsupervised learning.
  • B. Reinforcement learning is a type of machine learning where the model learns by trial and error. The model is given a reward for taking actions that lead to a desired outcome, and a penalty for taking actions that lead to an undesired outcome.
  • D. Unsupervised learning is a type of machine learning where the model is trained on unlabeled data. This means that the data does not have any labels, and the model must learn to find patterns in the data on its own.

Therefore, the answer is C. supervised learning.

Reference

The latest Generative AI Skills Initiative certificate program actual real practice exam question and answer (Q&A) dumps are available free, helpful to pass the Generative AI Skills Initiative certificate exam and earn Generative AI Skills Initiative certification.

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