32.2.1 - Supervised Learning for Predictive Decisions
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 supervised learning.
💡 Hint: Think about how teaching helps students learn.
What do regression models do?
💡 Hint: What would you use to predict next year's expenses?
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What is supervised learning?
💡 Hint: Think about how teachers show students what to expect.
True or False: Regression models are used to classify data.
💡 Hint: Consider the definition of regression vs classification.
1 more question available
Challenge Problems
Push your limits with advanced challenges
Develop a plan for implementing regression analysis in a new bridge project. Detail the data you would need and the predictions you hope to make.
💡 Hint: Consider historical data sources and user inputs.
Critique a sample classification model’s effectiveness in predicting risks. Use real-world examples to support your evaluation.
💡 Hint: Compare different scenarios where classification was used successfully or failed.
Get performance evaluation
Reference links
Supplementary resources to enhance your learning experience.