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DS-200 · Question #55
DS-200 Question #55: Real Exam Question with Answer & Explanation
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Question
Under what two conditions does stochastic gradient descent outperform 2nd-order optimization techniques such as iteratively reweighted least squares?
Options
- AWhen the volume of input data is so large and diverse that a 2nd-order optimization technique
- BWhen the model's estimates must be updated in real-time in order to account for
- CWhen the input data can easily fit into memory on a single machine, but we want to calculate
- DWhen we are required to find the parameters that return the optimal value of the objective
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