What type of data is required for supervised learning?

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Question: What type of data is required for supervised learning?

Options:

Correct Answer: Labeled data

Solution:

Supervised learning requires labeled data, where each input is associated with a corresponding output.

What type of data is required for supervised learning?

What type of data is required for supervised learning?

Step 1: Understand that supervised learning is a type of machine learning.
Step 2: Know that in supervised learning, we want to teach a model using examples.
Step 3: Realize that each example consists of two parts: input and output.
Step 4: Identify that the input is the data we provide to the model (like images or text).
Step 5: Recognize that the output is the answer or label we want the model to predict (like 'cat' or 'dog').
Step 6: Conclude that for supervised learning, we need labeled data, meaning each input must have a matching output.

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