32.7.1 - Support Vector Machines (SVM)
Enroll to start learning
You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.
Practice Questions
Test your understanding with targeted questions
What does SVM stand for?
💡 Hint: Think about what kind of type of machine it is related to.
What is the main purpose of SVMs in civil engineering?
💡 Hint: Consider how these tasks relate to construction.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What does SVM stand for?
💡 Hint: Consider the terminology often used in machine learning.
True or False: SVMs can only be used for classification tasks.
💡 Hint: Recall how SVMs operate.
1 more question available
Challenge Problems
Push your limits with advanced challenges
Consider a dataset with various types of soil samples and their characteristics. How would you implement an SVM to classify these samples? Discuss the necessary steps and potential challenges.
💡 Hint: Think of the workflow from data collection to model evaluation.
Imagine you are tasked with predicting slope failures in a mountainous area prone to landslides. What features would you consider for your SVM model, and how would you assess its accuracy?
💡 Hint: What external factors might you include in your model?
Get performance evaluation
Reference links
Supplementary resources to enhance your learning experience.