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3 cards from this section. Quick, good the night before a test.
Define supervised learning.
Think about whether the data used has known outcomes.
What is unsupervised learning used for?
Consider what happens when you have data with no answers.
What type of learning uses labeled data?
Think about the kind of data that gives you clear answers.
True or False: Unsurpervised learning requires labeled data.
Consider what it means to segment data with unknown outcomes.
Design a small business strategy using unsupervised learning techniques for customer analysis.
Think about different customer profiles and targeted approaches.
Critically analyze the implications of using reinforcement learning in autonomous vehicles.
Consider how real-world factors change driving conditions.
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