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Category: Technical Terms
Category: Technical Terms
Feature engineering creates new data variables or modifies existing ones to help AI models learn better patterns.
Raw data often isn't in the best format for AI. Feature engineering might combine "birth year" and "current year" to create "age," or extract "day of week" from dates.
Good features make the difference between AI that works and AI that doesn't.
Feature engineering often determines AI project success more than algorithm choice. Well-engineered features can make simple models outperform complex ones with poor features.
It requires domain knowledge to know which features matter for specific problems.
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