Exam AI-900 topic 1 question 172 discussion

correct answer. unsupervised, unsupervised and supervised learning. That is Clustering, Clustering and Classification

Key work "grouping" "organizing" is clustering

YYN is the answer. https://learn.microsoft.com/en-us/training/modules/create-clustering-model-azure-machine-learning-designer/2-clustering-scenarios Clustering is a form of machine learning that is used to group similar items into clusters based on their features. For example, a researcher might take measurements of penguins, and group them based on similarities in their proportions. https://learn.microsoft.com/en-us/training/modules/create-classification-model-azure-machine-learning-designer/classification-scenarios Classification is a form of machine learning that is used to predict which category, or class, an item belongs to. This machine learning technique can be applied to binary and multi-class scenarios. For example, a health clinic might use the characteristics of a patient (such as age, weight, blood pressure, and so on) to predict whether the patient is at risk of diabetes. In this case, the characteristics of the patient are the features, and the label is a binary classification of either 0 or 1, representing non-diabetic or diabetic.

why the second question is clustering? symptoms and diagnostic result can be measurable? So is it a features?

Clustering - Clustering - Classification

Clustering - Clustering - Calcification