Skip to Content

AI-900: Predicting Race Time with Machine Learning

Learn about predicting race time with machine learning. Understand the difference between regression, clustering, and classification.

Question

Predicting how many minutes it will take someone to run a race based on past race times is a use case for?

A. Clustering
B. Classification
C. Regression

Answer

C. Regression

Explanation

Regression is a supervised machine learning technique used to predict numeric values.

The correct answer is C. Regression.

Regression is a type of supervised machine learning that predicts a continuous numerical value based on the input features. For example, predicting how many minutes it will take someone to run a race based on past race times is a use case for regression, because the output is a numerical value that can vary within a range. Regression models learn from the historical data and try to find the best fit line or curve that minimizes the error between the actual and predicted values.

Clustering is a type of unsupervised machine learning that groups similar data points together based on their features. For example, clustering customers based on their purchase behavior is a use case for clustering, because the output is a set of discrete groups or clusters that are not predefined. Clustering models do not use any labels or targets, but instead rely on the inherent structure or patterns in the data.

Classification is another type of supervised machine learning that predicts a discrete categorical value based on the input features. For example, predicting whether an email is spam or not based on its content is a use case for classification, because the output is a binary value that can only be either spam or not spam. Classification models learn from the labeled data and try to find the best decision boundary that separates the different classes.

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.

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump

Alex Lim is a certified IT Technical Support Architect with over 15 years of experience in designing, implementing, and troubleshooting complex IT systems and networks. He has worked for leading IT companies, such as Microsoft, IBM, and Cisco, providing technical support and solutions to clients across various industries and sectors. Alex has a bachelor’s degree in computer science from the National University of Singapore and a master’s degree in information security from the Massachusetts Institute of Technology. He is also the author of several best-selling books on IT technical support, such as The IT Technical Support Handbook and Troubleshooting IT Systems and Networks. Alex lives in Bandar, Johore, Malaysia with his wife and two chilrdren. You can reach him at [email protected] or follow him on Website | Twitter | Facebook

    Ads Blocker Image Powered by Code Help Pro

    Your Support Matters...

    We run an independent site that is committed to delivering valuable content, but it comes with its challenges. Many of our readers use ad blockers, causing our advertising revenue to decline. Unlike some websites, we have not implemented paywalls to restrict access. Your support can make a significant difference. If you find this website useful and choose to support us, it would greatly secure our future. We appreciate your help. If you are currently using an ad blocker, please consider disabling it for our site. Thank you for your understanding and support.