The Three Edge Case Culprits: Bias, Variance, and Unpredictability

Edge cases occur for three basic reasons: Bias – the ML system is too ‘simple’; Variance – the ML system is too ‘inexperienced’; Unpredictability – the ML system operates in an environment full of surprises. How do we recognize these edge cases situations, and what can we do about them?

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The Three Edge Case Culprits: Bias, Variance, and Unpredictability