Generative AI Leader · Free Practice Question Easy
Question 17
A machine learning engineer is training a model to automatically categorize news articles into predefined topics like "Sports," "Politics," and "Technology." To do this, they have a dataset where each article has already been manually assigned one of these topic categories by a human annotator.
What type of data is the engineer primarily using for this training process?
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A
Labeled Data
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B
Structured Data
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C
Unlabeled Data
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D
Unstructured Data
Reveal correct answer
Correct answer: A
Explanation
The data consists of news articles (inputs) that have been manually assigned topic categories (outputs/tags). This is the definition of labeled data.
INCORRECT: Unstructured Data
While news articles are text and thus a form of unstructured data, the crucial characteristic for this scenario is that they have been annotated with topic categories. The question focuses on the presence of these annotations.INCORRECT: Unlabeled Data
Unlabeled data lacks explicit output tags or classifications. The scenario clearly states that each article has been assigned a topic category.INCORRECT: Structured Data
Structured data is organized in a predefined format, like tables. While the labels could be stored in a structured way alongside the articles, the core data (articles + their assigned topics) is best described as labeled, with the articles themselves being unstructured.CORRECT: Labeled Data
Labeled data consists of input data paired with corresponding output labels or tags. In this case, the news articles are the inputs, and the predefined topic categories ("Sports," "Politics," "Technology") assigned by human annotators are the labels. This type of data is essential for supervised machine learning tasks like classification.
Discussion
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