Question: Which preprocessing step is crucial when using Stochastic Gradient Descent ( SGD ) to ensure convergence towards the global optimum? Question options: Stratified sampling of

Which preprocessing step is crucial when using Stochastic Gradient Descent (SGD) to ensure convergence towards the global optimum?
Question options:
Stratified sampling of training data
Dimensionality reduction of feature space
Normalization of training instances
The training instances are shuffled during training

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