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MLS-C01 · Question #46
MLS-C01 Question #46: Real Exam Question with Answer & Explanation
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Modeling
Question
A Data Scientist is working on optimizing a model during the training process by varying multiple parameters. The Data Scientist observes that, during multiple runs with identical parameters, the loss function converges to different, yet stable, values. What should the Data Scientist do to improve the training process?
Options
- AIncrease the learning rate. Keep the batch size the same.
- BReduce the batch size. Decrease the learning rate.
- CKeep the batch size the same. Decrease the learning rate.
- DDo not change the learning rate. Increase the batch size.
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Topics
#Learning Rate#Batch Size#Model Optimization#Loss Convergence