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4 cards from this section. Quick, good the night before a test.
Define supervised learning in one sentence.
Think about how predictions are made.
Give an example of an unsupervised learning task.
Consider how groups are formed without labels.
What characterizes supervised learning?
Recall what the input data should be in supervised learning.
True or False: Unsupervised learning requires labeled data.
Think about how unsupervised tasks are defined.
Propose a machine learning project that utilizes both supervised and unsupervised learning techniques. Outline its steps.
Consider how one method can set the stage for another.
Explain how you would use reinforcement learning in a robotic application.
Think about the feedback mechanism that guides learning.
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