March Madness Bracket Predictions Still an Imperfect Science for AI Models
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AI and machine learning models are being used to try to predict March Madness brackets, but still face challenges due to limited data and human elements.
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Data scientists are hosting contests for models to predict game odds and tournament results as accurately as possible.
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Models consider factors like past game stats and team strengths, but can't account for sleep, psychology, or upsets.
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Small sample size of tournament games makes predictions difficult even for strong models.
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Ultimate goal is a bracket model balanced between math and "art" - statistics and emotional intuition.