How do I choose the right algorithm for my problem?
Choosing the right algorithm depends on the type of problem you're solving. Can you describe your problem?
I'm working on a classification problem with a large dataset.
For classification, you might consider algorithms like logistic regression, decision trees, or support vector machines. Do you have any specific requirements?
I need it to be fast and scalable.
In that case, you might want to look into algorithms like Random Forest or Gradient Boosting, as they tend to perform well with large datasets.
What about deep learning? Is it suitable for my case?
Deep learning can be very effective for classification tasks, especially with large datasets, but it requires more computational resources.
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