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Avoid overfitting models. Simpler models often generalize better to unseen data. Use cross-validation techniques to test model reliability before applying to real datasets.
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2025 sees U.S. universities overhaul statistics curricula, embedding AI ethics and causal inference as core requirements to address modern data science challenges.
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