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2 cards from this section. Quick, good the night before a test.
What is modeling in the context of AI?
Think about how we teach a model with examples.
Define supervised learning.
Consider how we categorize items with known labels.
What tool is used to visualize the performance of AI models?
Think about how we check if predictions match actual outcomes.
True or False: Supervised learning uncovers patterns from unlabeled data.
Remember the definition of supervised vs unsupervised.
Analyze a dataset of credit card transactions to identify fraudulent activities. Explain your approach and the tools you would use.
Think about how data patterns can impact your classification.
Design an AI model for customer segmentation using unsupervised learning. What challenges might you face?
Consider the implications of data quality on clustering.
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