32.2.2 - Unsupervised Learning in Pattern Discovery
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
Define unsupervised learning.
💡 Hint: Think about the types of data we see in engineering projects.
What is clustering?
💡 Hint: Recall how we group projects and their features.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What does unsupervised learning aim to do?
💡 Hint: Consider what unsupervised means.
Anomaly detection is used primarily for what purpose?
💡 Hint: Think about its importance in quality control.
Get performance evaluation
Challenge Problems
Push your limits with advanced challenges
Propose a method for using clustering to improve scheduling in a construction project.
💡 Hint: Think about dependencies and task lengths.
How could an anomaly detection system be structured in a real-time monitoring scenario?
💡 Hint: Consider sensor data and the type of anomalies that might occur.
Get performance evaluation
Reference links
Supplementary resources to enhance your learning experience.