Learn the difference between supervised and unsupervised machine learning, and why clustering is an example of unsupervised machine learning. Prepare for the AI-900 certification exam with this informative guide.
Table of Contents
Question
Clustering is an example of supervised machine learning, in which you train a model to separate items into clusters based purely on their characteristics or features. True or False?
A. True
B. False
Answer
B. False
Explanation
Clustering is an example of unsupervised machine learning, in which you train a model to separate items into clusters based purely on their characteristics or features.
The correct answer is B. False. Clustering is an example of unsupervised machine learning, in which you train a model to separate items into clusters based purely on their characteristics or features.
Supervised machine learning is a type of machine learning that involves training a model with labeled data, which means the data has a known outcome or target variable. For example, you can train a model to classify images of animals by providing labeled images of cats, dogs, and other animals. The model learns from the labels and can then predict the label for a new image.
Unsupervised machine learning is a type of machine learning that involves training a model with unlabeled data, which means the data does not have a known outcome or target variable. For example, you can train a model to cluster customers based on their purchase history, without knowing in advance how many clusters there are or what they represent. The model learns from the data and can then assign a cluster label to each customer.
Clustering is a common technique in unsupervised machine learning that groups items based on their similarity or distance in a feature space. For example, you can cluster customers based on their age, income, and spending habits. The model does not know the meaning or purpose of the clusters, but it can identify patterns and trends in the data.
Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Microsoft Azure AI Fundamentals AI-900 exam and earn Microsoft Azure AI Fundamentals AI-900 certification.
