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Feature cross: Difference between revisions
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Text replacement - "Category:Machine learning terms" to "Category:Machine learning terms Category:not updated"
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Machine learning uses feature crossing to create new ways of looking at old data in order to help computers find answers to questions. It's like mixing together your favorite foods to create something even better than the originals! By combining two or more pieces of information and applying some math, we can generate new data which is more helpful in answering our inquiries. | Machine learning uses feature crossing to create new ways of looking at old data in order to help computers find answers to questions. It's like mixing together your favorite foods to create something even better than the originals! By combining two or more pieces of information and applying some math, we can generate new data which is more helpful in answering our inquiries. | ||
[[Category:Terms]] [[Category:Machine learning terms]] | [[Category:Terms]] [[Category:Machine learning terms]] [[Category:not updated]] | ||