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ml-recall

#ce6146-l02

117 questions from Statistics & Estimation, Optimization & Calculus, Information Theory, ML Fundamentals, Evaluation Metrics, Neural Network Basics, Training Deep Networks, PyTorch

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20 questions · 20 min · score and explanations at the end

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Question 1: Short answer

mediumAI-checkedStatistics & Estimation

At a fixed input, the target YY is 0 or 4 with probability 12\tfrac12 each. A model predicts the constant a=1a = 1. Its expected squared loss E[(Y−a)2]E[(Y - a)^2] is , and the smallest expected squared loss any prediction can reach is .

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