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Learn how to describe core AI concepts and terminology by classifying algorithms, models, training, and inference in business descriptions, distinguishing general AI from machine learning and generative AI, and recognizing the purpose of global standards. You will also classify data as structured or unstructured, connect data quality defects to their effects on AI performance, and judge whether historical data can support a use case.
