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DS-200 · Question #47

DS-200 Question #47: Real Exam Question with Answer & Explanation

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Question

What is the best way to determine the learning rate parameters for stochastic gradient descent when the distribution of the input data shifts over time?

Options

  • AThe learning rate should be adjusted periodically based on the setting that optimizes the objective
  • BThe learning rate should be fixed number that decays as the number of observations in the data
  • CThe learning rate should be the value that optimizes the value of the objective function over the
  • DThe learning rate should be a fixed number with a constant decay factor
  • EThe learning rate should be continuously adjusted based on the value that optimizes the objective

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