Microsoft Azure AI Fundamentals — Question 58

A medical research project uses a large anonymized dataset of brain scan images that are categorized into predefined brain haemorrhage types.
You need to use machine learning to support early detection of the different brain haemorrhage types in the images before the images are reviewed by a person.
This is an example of which type of machine learning?

Answer options

• A. clustering
• B. regression
• C. classification

Correct answer: C

Explanation

The correct answer is C, classification, as the task involves categorizing images into predefined types of brain haemorrhages. Clustering (A) is incorrect because it groups data based on similarity without predefined labels, while regression (B) is not applicable since it predicts continuous values rather than classifying discrete categories.