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4 cards from this section. Quick, good the night before a test.
What is supervised learning?
Think about how labels help guide learning.
What does clustering do?
Consider how we find commonalities.
What is the main purpose of supervised learning?
Think about the labels guiding what the model learns.
True or False: Unsupervised learning requires labeled data.
Remember if labels are present or not in unsupervised learning.
Evaluate the impact of using regression models on the budgeting process of a mega construction project.
Consider how predicting costs avoids financial pitfalls.
Design an experiment using unsupervised learning to enhance quality control in a construction site. What data would you collect?
Think of variables that could affect project outcome or quality.
6 more questions in this section. Enroll free to practise them all.
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