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Related Questions
- When the data is highly noisy, what optimization algorithm is often preferred?
- What are the scenarios where batch gradient descent is computationally efficient?
- Can you provide an example where the entire dataset is available in memory?
- Under what conditions would the number of iterations of batch gradient descent be small compared to stochastic gradient descent?
- In scenarios with sparse data, what type of gradient descent would you choose?
- Are there any specific datasets that make batch gradient descent the optimal choice?
- In what type of models, such as logistic regression, would batch gradient descent be preferred over stochastic gradient descent?
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